These functions plot absolute differences in PRED, IPRED, WRES, CWRES and IWRES against covariates for the two specified model fits.
absval.dpred.vs.cov.model.comp(object,
object.ref = NULL,
type = NULL,
ylb=expression(paste("|", Delta, "PRED|")),
main="Default",
...)
absval.dipred.vs.cov.model.comp(object,
object.ref = NULL,
type = NULL,
ylb=expression(paste("|", Delta, "IPRED|")),
main="Default",
...)
absval.dcwres.vs.cov.model.comp(object,
object.ref = NULL,
type = NULL,
ylb=expression(paste("|", Delta, "CWRES|")),
main="Default",
...)
absval.dwres.vs.cov.model.comp(object,
object.ref = NULL,
type = NULL,
ylb=expression(paste("|", Delta, "WRES|")),
main="Default",
...)
absval.diwres.vs.cov.model.comp(object,
object.ref = NULL,
type = NULL,
ylb=expression(paste("|", Delta, "IWRES|")),
main="Default",
...)
An xpose.data object.
An xpose.data object. If not supplied, the user will be prompted.
1-character string giving the type of plot desired. The following values are possible, for details, see 'plot': '"p"' for points, '"l"' for lines, '"o"' for overplotted points and lines, '"b"', '"c"') for (empty if '"c"') points joined by lines, '"s"' and '"S"' for stair steps and '"h"' for histogram-like vertical lines. Finally, '"n"' does not produce any points or lines.
A string giving the label for the y-axis. NULL
if
none.
The title of the plot. If "Default"
then a default
title is plotted. Otherwise the value should be a string like
"my title"
or NULL
for no plot title. For
"Default"
the function
xpose.multiple.plot.title
is used.
Other arguments passed to link{xpose.plot.default}
.
Returns a stack of plots comprising comparisons of PRED, IPRED, WRES (or CWRES) and IWRES for the two specified runs.
These functions produce plots of the absolute difference in population
predictions (absval.dpred.vs.cov.model.comp
), individual predictions
(absval.dipred.vs.cov.model.comp
), weighted population residuals
(absval.dwres.vs.cov.model.comp
), conditional weighted population residuals
(absval.dcwres.vs.cov.model.comp
) and individual predictions (absval.diwres.vs.cov.model.comp
).
Conditional weighted residuals (CWRES) require some extra steps to
calculate. See compute.cwres
for details.
A wide array of extra options controlling xyplots are
available. See xpose.plot.default
for details.
xpose.plot.default
,
xpose.panel.default
,
xyplot
,
compute.cwres
,
xpose.prefs-class
,
xpose.data-class
## We expect to find the required NONMEM run and table files for runs
## 5 and 6 in the current working directory
xpdb5 <- xpose.data(5)
xpdb6 <- xpose.data(6)
## A basic dWRES plot, without prompts
absval.dwres.vs.cov.model.comp(xpdb5, xpdb6)
## Custom colours and symbols, no user IDs
absval.dpred.vs.cov.model.comp(xpdb5, xpdb6, cex=0.6, pch=8, col=1, ids=NULL)
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