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plotBEConfidenceIntervals

[PKanalix] BE Confidence Intervals plot

Plot the individual NCA parameters vs covariates.

Usage

R

plotBEConfidenceIntervals(
  parameters = NULL,
  formulations = NULL,
  settings = list(),
  preferences = NULL
)

Arguments

parameters	vector of bioequivalence parameters to display. (by default the first 4 computed parameters are displayed).
formulations	vector of test formulations to display. (by default the first 4 test formulations are displayed).
settings	List with the following settings `median` (logical) - If TRUE median is displayed (default TRUE). `limits` (logical) - If TRUE confidence intervals limits are displayed (default TRUE). `legend` (logical) add (TRUE) / remove (FALSE) plot legend (default FALSE). `grid` (logical) add (TRUE) / remove (FALSE) plot grid (default TRUE). `ylog` (logical) add (TRUE) / remove (FALSE) log scaling on y axis (default TRUE). `ylab` (character) label on y axis (default Ratio). `ncol` (integer) number of columns when facet = TRUE (default 4). `fontsize` (integer) Plot text font size. `units` (logical) Set units in axis labels (default TRUE).
preferences	(optional) preferences for plot display, run getPlotPreferences("plotBEConfidenceIntervals") to check available displays.

Value

A ggplot object if one parameter,
A TableGrob object if multiple plots (output of grid.arrange)

See also

getPlotPreferences

Examples

R

  initializeLixoftConnectors(software = "pkanalix")
  project <- file.path(getDemoPath(), "2.case_studies/project_Theo_extravasc_SD.pkx")
  loadProject(project)
  runNCAEstimation()
  runBioequivalenceEstimation()
  plotBEConfidenceIntervals()

R


  
  plotBEConfidenceIntervals(parameters = "Cmax",
                            settings = list(legend = T))

R

Last updated: September 04, 2026