parm.vs.parm: Plot parameters vs other parameters

In xpose4: Diagnostics for Nonlinear Mixed-Effect Models

Plot parameters vs other parameters

Description

This function plots the parameter values stored in an Xpose data object versus each other in a series of graphs. The mirror functionality is available for this function.

Usage

parm.vs.parm(
  object,
  onlyfirst = TRUE,
  abline = FALSE,
  smooth = TRUE,
  type = "p",
  main = "Default",
  ...
)

Arguments

object	An xpose.data object.
onlyfirst	Logical value indicating whether only the first row per individual is included in the plot.
abline	Allows for a line of identity.
smooth	Logical value indicating whether an x-y smooth should be superimposed. The default is TRUE.
type	The plot type - defaults to points only.
main	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.
...	Other arguments passed to xpose.plot.default.

Details

Each of the parameters in the Xpose data object, as specified in object@Prefs@Xvardef$parms, is plotted against the rest, creating a stack of plots.

A wide array of extra options controlling xyplots are available. See xpose.plot.default and xpose.panel.default for details.

Value

Returns a stack of xyplots and histograms of parameters against parameters.

Author(s)

Andrew Hooker

See Also

Other specific functions: absval.cwres.vs.cov.bw(), absval.cwres.vs.pred.by.cov(), absval.cwres.vs.pred(), absval.iwres.cwres.vs.ipred.pred(), absval.iwres.vs.cov.bw(), absval.iwres.vs.idv(), absval.iwres.vs.ipred.by.cov(), absval.iwres.vs.ipred(), absval.iwres.vs.pred(), absval.wres.vs.cov.bw(), absval.wres.vs.idv(), absval.wres.vs.pred.by.cov(), absval.wres.vs.pred(), absval_delta_vs_cov_model_comp, addit.gof(), autocorr.cwres(), autocorr.iwres(), autocorr.wres(), basic.gof(), basic.model.comp(), cat.dv.vs.idv.sb(), cat.pc(), cov.splom(), cwres.dist.hist(), cwres.dist.qq(), cwres.vs.cov(), cwres.vs.idv.bw(), cwres.vs.idv(), cwres.vs.pred.bw(), cwres.vs.pred(), cwres.wres.vs.idv(), cwres.wres.vs.pred(), dOFV.vs.cov(), dOFV.vs.id(), dOFV1.vs.dOFV2(), data.checkout(), dv.preds.vs.idv(), dv.vs.idv(), dv.vs.ipred.by.cov(), dv.vs.ipred.by.idv(), dv.vs.ipred(), dv.vs.pred.by.cov(), dv.vs.pred.by.idv(), dv.vs.pred.ipred(), dv.vs.pred(), gof(), ind.plots.cwres.hist(), ind.plots.cwres.qq(), ind.plots(), ipred.vs.idv(), iwres.dist.hist(), iwres.dist.qq(), iwres.vs.idv(), kaplan.plot(), par_cov_hist, par_cov_qq, parm.vs.cov(), pred.vs.idv(), ranpar.vs.cov(), runsum(), wres.dist.hist(), wres.dist.qq(), wres.vs.idv.bw(), wres.vs.idv(), wres.vs.pred.bw(), wres.vs.pred(), xpose.VPC.both(), xpose.VPC.categorical(), xpose.VPC(), xpose4-package

Examples

## Not run: 
## We expect to find the required NONMEM run and table files for run
## 5 in the current working directory
xpdb <- xpose.data(5)


parm.vs.parm(xpdb)


parm.vs.parm(xpdb,mirror=3)

## End(Not run)

xpose4 documentation built on May 31, 2022, 5:07 p.m.