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plotBEConfidenceIntervals

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)

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
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