panel.modelfit: Panel function for Residual Variability Plots

In qPharmetra/qpToolkit: qPharmetra R Tools

Panel function for Residual Variability Plots

Description

Panel function to plot DV, PRED, IPRED overlays for individual profiles

Usage

panel.modelfit(
  x,
  y,
  groups,
  subscripts,
  logX = FALSE,
  logY = FALSE,
  type.obs = "b",
  pred.lty = "solid",
  ipred.lty = "solid",
  ...
)

Arguments

x, y	numeric vectors x and y
groups	see xyplot
subscripts	see xyplot
logX	log the x-axis (defaults to F)
logY	log the y-axis (defaults to F)
type.obs	line type for observed data (defaults to 'b' for both lines and points)
pred.lty	line type for population predictions
ipred.lty	line type for individual predictions
...	passed to llines()

Value

Lattice panel output (invisible)

Examples

library(Hmisc)
library(lattice)
out = get.xpose.tables('example1',getOption('qpExampleDir'))
out$EVID = 0
trellis.strip.color()
xyplot(Cbind(CONC,PRED,IPRED,EVID) ~ TIME
       , groups = ID
       , data = subset(out)
       , scales = list(x = list(relation = 'free'),y = list(log = 10))
       , panel = panel.modelfit
       , logY = TRUE
       , yscale.components = yscale.components.log10
)

qPharmetra/qpToolkit documentation built on May 24, 2023, 8:52 a.m.