ind.plots.wres.hist: Histograms of weighted residuals for each individual in an...

In xpose4: Diagnostics for Nonlinear Mixed-Effect Models

Histograms of weighted residuals for each individual in an Xpose data object, for Xpose 4

Description

This is a compound plot consisting of histograms of the distribution of weighted residuals (any weighted residual available from NONMEM) for every individual in the dataset. It is a wrapper encapsulating arguments to the xpose.plot.histogram function.

Usage

ind.plots.cwres.hist(object, wres = "cwres", ...)

ind.plots.wres.hist(
  object,
  main = "Default",
  wres = "wres",
  ylb = NULL,
  layout = c(4, 4),
  inclZeroWRES = FALSE,
  subset = xsubset(object),
  scales = list(cex = 0.7, tck = 0.5),
  aspect = "fill",
  force.by.factor = TRUE,
  ids = F,
  as.table = TRUE,
  hicol = object@[e-mail]$hicol,
  hilty = object@[e-mail]$hilty,
  hilwd = object@[e-mail]$hilwd,
  hidcol = object@[e-mail]$hidcol,
  hidlty = object@[e-mail]$hidlty,
  hidlwd = object@[e-mail]$hidlwd,
  hiborder = object@[e-mail]$hiborder,
  prompt = FALSE,
  mirror = NULL,
  main.cex = 0.9,
  max.plots.per.page = 1,
  ...
)

Arguments

object	An xpose.data object.
wres	Which weighted residual should we plot? Defaults to the WRES.
...	Other arguments passed to xpose.plot.histogram.
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.
ylb	A string giving the label for the y-axis. NULL if none.
layout	A list giving the layout of the graphs on the plot, in columns and rows. The default is 4x4.
inclZeroWRES	Logical value indicating whether rows with WRES=0 is included in the plot. The default is FALSE.
subset	A string giving the subset expression to be applied to the data before plotting. See xsubset.
scales	see xpose.plot.histogram
aspect	see xpose.plot.histogram
force.by.factor	see xpose.plot.histogram
ids	see xpose.plot.histogram
as.table	see xpose.plot.histogram
hicol	the fill colour of the histogram - an integer or string. The default is blue (see histogram).
hilty	the border line type of the histogram - an integer. The default is 1 (see histogram).
hilwd	the border line width of the histogram - an integer. The default is 1 (see histogram).
hidcol	the fill colour of the density line - an integer or string. The default is black (see histogram).
hidlty	the border line type of the density line - an integer. The default is 1 (see histogram).
hidlwd	the border line width of the density line - an integer. The default is 1 (see histogram).
hiborder	the border colour of the histogram - an integer or string. The default is black (see histogram).
prompt	Specifies whether or not the user should be prompted to press RETURN between plot pages. Default is FALSE.
mirror	Mirror plots are not yet implemented in this function and this argument must contain a value of NULL
main.cex	The size of the title.
max.plots.per.page	Maximum number of plots per page

Details

Matrices of histograms of weighted residuals in each included individual are displayed. ind.plots.cwres.hist is just a wrapper for ind.plots.wres.hist(object,wres="cwres").

Value

Returns a compound plot comprising histograms of weighted residual conditioned on individual.

Functions

• ind.plots.cwres.hist(): Histograms of conditional weighted residuals for each individual

Author(s)

E. Niclas Jonsson, Mats Karlsson, Justin Wilkins & Andrew Hooker

See Also

xpose.plot.histogram, xpose.panel.histogram, histogram, xpose.prefs-class, xpose.data-class

Other specific functions: absval.cwres.vs.cov.bw(), absval.cwres.vs.pred(), absval.cwres.vs.pred.by.cov(), absval.iwres.cwres.vs.ipred.pred(), absval.iwres.vs.cov.bw(), absval.iwres.vs.idv(), absval.iwres.vs.ipred(), absval.iwres.vs.ipred.by.cov(), absval.iwres.vs.pred(), absval.wres.vs.cov.bw(), absval.wres.vs.idv(), absval.wres.vs.pred(), absval.wres.vs.pred.by.cov(), 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(), cwres.vs.idv.bw(), cwres.vs.pred(), cwres.vs.pred.bw(), 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(), dv.vs.ipred.by.cov(), dv.vs.ipred.by.idv(), dv.vs.pred(), dv.vs.pred.by.cov(), dv.vs.pred.by.idv(), dv.vs.pred.ipred(), gof(), ind.plots(), ind.plots.cwres.qq(), 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(), runsum(), wres.dist.hist(), wres.dist.qq(), wres.vs.idv(), wres.vs.idv.bw(), wres.vs.pred(), wres.vs.pred.bw(), xpose.VPC(), xpose.VPC.both(), xpose.VPC.categorical(), xpose4-package

Examples

## Here we load the example xpose database 
xpdb <- simpraz.xpdb

## A plot of the first 16 individuals
ind.plots.cwres.hist(xpdb, subset="ID<18")

xpose4 documentation built on May 29, 2024, 7:56 a.m.