absval.wres.vs.idv: Absolute value of (C)WRES vs. independent variable plot in...

In UUPharmacometrics/xpose4: Diagnostics for Nonlinear Mixed-Effect Models

Absolute value of (C)WRES vs. independent variable plot in Xpose4.

Description

This is a plot of the absolute value of the CWRES (default, other residuals as an option) vs independent variable, a specific function in Xpose 4. It is a wrapper encapsulating arguments to the xpose.plot.default function. Most of the options take their default values from the xpose.data object but may be overridden by supplying them as arguments.

Usage

absval.wres.vs.idv(
  object,
  idv = "idv",
  wres = "Default",
  ylb = "Default",
  smooth = TRUE,
  idsdir = "up",
  type = "p",
  ...
)

Arguments

object	An xpose.data object.
idv	the independent variable.
wres	Which weighted residual to use. "Default" is the CWRES.
ylb	Y-axis label.
smooth	Logical value indicating whether an x-y smooth should be superimposed. The default is TRUE.
idsdir	Direction for displaying point labels. The default is "up", since we are displaying absolute values.
type	Type of plot. The default is points only ("p"), but lines ("l") and both ("b") are also available.
...	Other arguments passed to link{xpose.plot.default}.

Details

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

Value

Returns an xyplot of |CWRES| vs idv (often TIME, defined by xvardef).

Author(s)

Andrew Hooker

See Also

xpose.plot.default, xpose.panel.default, xyplot, xpose.prefs-class, compute.cwres, xpose.data-class help, ~~~

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.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.hist(), 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

## Not run: 
## We expect to find the required NONMEM run and table files for run
## 5 in the current working directory
xpdb5 <- xpose.data(5)

## End(Not run)

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

## A vanilla plot
absval.wres.vs.idv(xpdb)

## A conditioning plot
absval.wres.vs.idv(xpdb, by="HCTZ")

## Custom heading and axis labels
absval.wres.vs.idv(xpdb, main="Hello World", ylb="|CWRES|", xlb="IDV")

## Custom colours and symbols
absval.wres.vs.idv(xpdb, cex=0.6, pch=3, col=1)

## using the NPDEs instead of CWRES
absval.wres.vs.idv(xpdb,wres="NPDE")

## subsets
absval.wres.vs.idv(xpdb,subset="TIME<10")

UUPharmacometrics/xpose4 documentation built on Feb. 22, 2024, 5:02 p.m.