panel.residual: Panel function for Residual Variability Plots

In qPharmetra/qpToolkit: qPharmetra R Tools

Panel function for Residual Variability Plots

Description

Panel function to plot residuals vs any covariate or DV vs (I)PRED

Usage

panel.residual(
  x,
  y,
  abline = "identity",
  col = obs.color,
  cex = 1,
  span = 0.8,
  lwd.loess = 2,
  smooth.col = smooth.color,
  ...
)

Arguments

x, y	numeric vectors x and y
abline	if "identity" (default) the line of identity is drawn. If anything else no abline is drawn.
col	symbol color (defaults to obs.color)
cex	symbol size
span	passed to panel.loess()
lwd.loess	line width of loess smooth
smooth.col	color of smooth line
...	passed to panel.xyplot(), panel.abline(), and panel.loess()

Value

Lattice panel output (invisible)

Examples

library(lattice)
library(reshape2)
trellis.strip.color()
xyplot(CONC ~ value | variable
       , data = subset(
          reshape2::melt(
             get.xpose.tables('example1', getOption('qpExampleDir')
             )
             , measure.vars = c('PRED','IPRED')
          ), EVID == 0)
       , subset = EVID == 0
       , aspect = 1
       , scales = list(x = list(relation = 'free'))
       , panel = panel.residual
       )

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