Standardized_serology - Infant AP vs. WP
Scot Zens
2024-06-15
Last updated: 2024-06-15
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madi-project3-sdy8003-pertussis-thailand/
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| html | fc1ba67 | Michael S. Zens | 2024-06-13 | filled out covariate analysis |
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| html | 049442a | Michael S. Zens | 2024-05-21 | Added extreme value assessment |
Data for vaccinated (7mo) and boosted (19mo) visits
Serology assay results are assessed for their bivariate distribution and possible outliers are identified. Please report back the outliers that should be added to a list of manual exclusions. Hovering your cursor over points will reveal their identity.
Review Serology Assay values for Outliers
Antigen: DT
DT_ADCD
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
DT_ADCP
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
DT_ADNP
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
DT_FcgR2a
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
DT_FcgR3b
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
DT_IgG
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
DT_IgG1
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
DT_IgG2
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
DT_IgG3
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
DT_IgG4
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Antigen: FHA
ELISA_FHA_IgG
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
FHA_ADCD
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
FHA_ADCP
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
FHA_ADNP
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
FHA_FcgR2a
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
FHA_FcgR3b
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
FHA_IgG
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
FHA_IgG1
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
FHA_IgG2
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
FHA_IgG3
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
FHA_IgG4
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Antigen: PRN
ELISA_PRN_IgG
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
PRN_ADCD
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
PRN_ADCP
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
PRN_ADNP
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
PRN_FcgR2a
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
PRN_FcgR3b
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
PRN_IgG
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
PRN_IgG1
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
PRN_IgG2
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
PRN_IgG3
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
PRN_IgG4
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Antigen: PT
ELISA_PT_IgG
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
PT_ADCD
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
PT_ADCP
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
PT_ADNP
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
PT_FcgR2a
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
PT_FcgR3b
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
PT_IgG
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
PT_IgG1
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
PT_IgG2
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
PT_IgG3
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
PT_IgG4
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Antigen: gB
gB_ADCD
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
gB_FcgR2a
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
gB_FcgR3b
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
gB_IgG
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
gB_IgG1
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
gB_IgG2
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
gB_IgG3
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
gB_IgG4
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Antigen: TT
TT_ADCD
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
TT_ADCP
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
TT_ADNP
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
TT_FcgR2a
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
TT_FcgR3b
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
TT_IgG
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
TT_IgG1
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
TT_IgG2
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
TT_IgG3
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
TT_IgG4
Raw
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
Imputed
[1] “Serology assay values are coded as included, manually excluded or null. Values null in one or both axes are orange and plotted arbitrarily on fixed reference lines 10% higher than the scale for each axis.green reference lines are medians for each axis.light blue box is a Hample filter (the values outside the interval formed by the median, plus or minus 3 median absolute deviations; Enderlein, G. 1987. “Hawkins, DM: Identification of Outliers. Chapman and Hall, London–New York 1980, 188 s.,£ 14, 50.” Biometrical Journal 29 (2): 198–98.). Points falling outside the rectangular region are outside the 99% CI for the distribution. ”
[1] “Warning: NA elements have been exchanged by median values!!”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “bagplot plottet”
[1] “A generalized bivariate boxplot with outliers (log transformed) estimated by rank density. The red star is the bivariate median surrounded by a region containing 50% of the nearest observations (IQR). Observations between the IQR and the convex hull around the IQR are contained in a light blue donut. Observations outside the hull are flagged as outliers ; P. J. Rousseeuw, I. Ruts, J. W. Tukey (1999): The bagplot: a bivariate boxplot, The American Statistician, vol. 53, no. 4, 382–387”
| Version | Author | Date |
|---|---|---|
| ec57599 | Michael S. Zens | 2024-06-13 |
[1] “A high density region (HDR) plot with outliers (log transformed) estimated by kernal density estimation and outliers are identified using automated leave-one-out kernel density estimates that are robust to a range of detection bandwidths; , R J (1996) Computing and Graphing Highest Density Regions, The American Statistician, 50(2), 120–126., S & Hyndman, R J (2022) Leave-one-out kernel density estimates for outlier detection, J Computational & Graphical Statistics, 31(2), 586-599.”
sessionInfo()R version 4.3.1 (2023-06-16 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19045)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.utf8
[2] LC_CTYPE=English_United States.utf8
[3] LC_MONETARY=English_United States.utf8
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.utf8
time zone: America/New_York
tzcode source: internal
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] broom_1.0.5 e1071_1.7-13 glue_1.6.2
[4] RPostgres_1.4.5 RColorBrewer_1.1-3 aplpack_1.3.5
[7] ks_1.14.2 weird_1.0.2 manipulateWidget_0.11.1
[10] hrbrthemes_0.8.7 rstatix_0.7.2 emmeans_1.10.0
[13] glmtoolbox_0.1.10 gratia_0.8.2 cgam_1.21
[16] lme4_1.1-34 Matrix_1.6-1.1 statmod_1.5.0
[19] svDialogs_1.1.0 coneproj_1.17 drc_3.0-1
[22] MASS_7.3-60.0.1 olsrr_0.6.0 mvtnorm_1.2-3
[25] GGally_2.2.1 pvclust_2.2-0 rcompanion_2.4.34
[28] polycor_0.8-1 boot_1.3-28.1 qgraph_1.9.8
[31] janitor_2.2.0 dendextend_1.17.1 pheatmap_1.0.12
[34] skimr_2.1.5 kableExtra_1.3.4 rmarkdown_2.25
[37] papeR_1.0-5 xtable_1.8-4 car_3.1-2
[40] carData_3.0-5 mclust_6.0.1 kohonen_3.0.12
[43] clValid_0.7 cluster_2.1.6 NbClust_3.0.1
[46] FactoMineR_2.9 missMDA_1.19 htmltools_0.5.8
[49] ggfortify_0.4.16 ggpubr_0.6.0 ggrepel_0.9.3
[52] plotly_4.10.4 data.table_1.14.8 DT_0.28
[55] DBI_1.1.3 fpc_2.2-10 extrafont_0.19
[58] lubridate_1.9.2 forcats_1.0.0 stringr_1.5.0
[61] dplyr_1.1.2 purrr_1.0.1 readr_2.1.4
[64] tidyr_1.3.0 tibble_3.2.1 ggplot2_3.4.4
[67] tidyverse_2.0.0 here_1.0.1 workflowr_1.7.1
loaded via a namespace (and not attached):
[1] coin_1.4-3 gld_2.6.6 nnet_7.3-19
[4] goftest_1.2-3 TH.data_1.1-2 vctrs_0.6.3
[7] digest_0.6.33 png_0.1-8 corpcor_1.6.10
[10] shape_1.4.6 proxy_0.4-27 Exact_3.2
[13] gmodels_2.18.1.1 git2r_0.32.0 httpcode_0.3.0
[16] fontLiberation_0.1.0 reshape2_1.4.4 httpuv_1.6.11
[19] foreach_1.5.2 withr_3.0.0 psych_2.3.9
[22] xfun_0.40 ellipsis_0.3.2 survival_3.5-5
[25] crul_1.4.0 diptest_0.77-0 systemfonts_1.0.5
[28] zoo_1.8-12 gtools_3.9.4 pbapply_1.7-2
[31] DEoptimR_1.1-3 Formula_1.2-5 prabclus_2.3-3
[34] promises_1.2.0.1 scatterplot3d_0.3-44 httr_1.4.7
[37] ps_1.7.5 rstudioapi_0.15.0 pan_1.9
[40] miniUI_0.1.1.1 generics_0.1.3 base64enc_0.1-3
[43] processx_3.8.2 SuppDists_1.1-9.7 curl_5.1.0
[46] repr_1.1.6 RcppZiggurat_0.1.6 quadprog_1.5-8
[49] pracma_2.4.4 doParallel_1.0.17 evaluate_0.23
[52] Rfast_2.1.0 hms_1.1.3 glmnet_4.1-8
[55] colorspace_2.1-0 readxl_1.4.3 flexmix_2.3-19
[58] magrittr_2.0.3 lmtest_0.9-40 snakecase_0.11.1
[61] later_1.3.1 viridis_0.6.4 modeltools_0.2-23
[64] lattice_0.21-8 robustbase_0.99-1 getPass_0.2-2
[67] matrixStats_1.0.0 class_7.3-22 Hmisc_5.1-1
[70] pillar_1.9.0 nlme_3.1-164 iterators_1.0.14
[73] compiler_4.3.1 stringi_1.7.12 DescTools_0.99.52
[76] jomo_2.7-6 minqa_1.2.6 plyr_1.8.9
[79] crayon_1.5.2 abind_1.4-5 nortest_1.0-4
[82] bit_4.0.5 rootSolve_1.8.2.4 sandwich_3.1-0
[85] libcoin_1.0-10 whisker_0.4.1 codetools_0.2-19
[88] multcomp_1.4-25 crosstalk_1.2.0 bslib_0.7.0
[91] lmom_3.0 mime_0.12 splines_4.3.1
[94] Rcpp_1.0.11 cellranger_1.1.0 Rttf2pt1_1.3.12
[97] leaps_3.1 blob_1.2.4 knitr_1.44
[100] utf8_1.2.3 pbivnorm_0.6.0 fs_1.6.3
[103] evd_2.3-7 checkmate_2.2.0 admisc_0.33
[106] expm_0.999-7 ggsignif_0.6.4 estimability_1.5
[109] lavaan_0.6-16 callr_3.7.5 tzdb_0.4.0
[112] svglite_2.1.2 pkgconfig_2.0.3 tools_4.3.1
[115] cachem_1.0.8 viridisLite_0.4.2 rvest_1.0.3
[118] numDeriv_2016.8-1.1 fastmap_1.1.1 scales_1.3.0
[121] grid_4.3.1 sass_0.4.9 patchwork_1.1.3
[124] coda_0.19-4 ggstats_0.5.1 rpart_4.1.19
[127] farver_2.1.1 svGUI_1.0.1 mgcv_1.8-42
[130] yaml_2.3.7 foreign_0.8-84 cli_3.6.1
[133] stats4_4.3.1 webshot_0.5.5 dbscan_1.1-12
[136] lifecycle_1.0.4 kernlab_0.9-32 backports_1.4.1
[139] timechange_0.2.0 gtable_0.3.4 parallel_4.3.1
[142] jsonlite_1.8.7 mitml_0.4-5 bit64_4.0.5
[145] multcompView_0.1-9 glasso_1.11 RcppParallel_5.1.7
[148] gdata_2.19.0 mice_3.16.0 jquerylib_0.1.4
[151] lazyeval_0.2.2 shiny_1.7.4.1 gfonts_0.2.0
[154] tcltk_4.3.1 gdtools_0.3.4 rprojroot_2.0.4
[157] mnormt_2.1.1 jpeg_0.1-10 mvnfast_0.2.8
[160] gridExtra_2.3 flashClust_1.01-2 igraph_1.5.1
[163] extrafontdb_1.0 R6_2.5.1 fdrtool_1.2.17
[166] labeling_0.4.3 nloptr_2.0.3 tidyselect_1.2.0
[169] plotrix_3.8-4 htmlTable_2.4.1 xml2_1.3.5
[172] fontBitstreamVera_0.1.1 KernSmooth_2.23-21 munsell_0.5.0
[175] fontquiver_0.2.1 htmlwidgets_1.6.2 rlang_1.1.1
[178] fansi_1.0.4