runsum: Print run summary in Xpose 4

In xpose4: Diagnostics for Nonlinear Mixed-Effect Models

Print run summary in Xpose 4

Description

Function to build Xpose run summaries.

Usage

runsum(
  object,
  dir = "",
  modfile = paste(dir, "run", object@Runno, ".mod", sep = ""),
  listfile = paste(dir, "run", object@Runno, ".lst", sep = ""),
  main = NULL,
  subset = xsubset(object),
  show.plots = TRUE,
  txt.cex = 0.7,
  txt.font = 1,
  show.ids = FALSE,
  param.table = TRUE,
  txt.columns = 2,
  force.wres = FALSE,
  ...
)

Arguments

object	An xpose.data object.
dir	The directory to look for the model and output file of a NONMEM run.
modfile	The name of the NONMEM control stream associated with the current run.
listfile	The name of the NONMEM output file associated with the current run.
main	A string giving the main heading. NULL if none.
subset	A string giving the subset expression to be applied to the data before plotting. See xsubset.
show.plots	Logical indicating if GOF plots should be shown in the run summary.
txt.cex	Number indicating the size of the txt in the run summary.
txt.font	Font of the text in the run summary.
show.ids	Logical indicating if IDs should be plotted in the plots for the run summary.
param.table	Logical indicating if the parameter table should be shown in the run summary.
txt.columns	The number of text columns in the run summary.
force.wres	Plot the WRES even if other residuals are available.
...	Other arguments passed to the various functions.

Value

A compound plot containing an Xpose run summary is created.

Author(s)

Niclas Jonsson and 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(), parm.vs.parm(), pred.vs.idv(), ranpar.vs.cov(), 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

od = setwd(tempdir()) # move to a temp directory
(cur.files <- dir()) # current files in temp directory

simprazExample(overwrite=TRUE) # write files
(new.files <- dir()[!(dir() %in% cur.files)])  # what files are new here?

xpdb <- xpose.data(1)
runsum(xpdb)


file.remove(new.files) # remove these files
setwd(od)  # restore working directory

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