cat.dv.vs.idv.sb: Categorical observations vs. independent variable using...

In xpose4: Diagnostics for Nonlinear Mixed-Effect Models

Categorical observations vs. independent variable using stacked bars.

Description

Categorical observations vs. independent variable using stacked bars.

Usage

cat.dv.vs.idv.sb(
  object,
  dv = xvardef("dv", object),
  idv = xvardef("idv", object),
  by = NULL,
  groups = dv,
  force.by.factor = FALSE,
  recur = F,
  xlb = idv,
  ylb = "Proportion",
  subset = NULL,
  vary.width = T,
  level.to.plot = NULL,
  refactor.levels = TRUE,
  main = xpose.create.title.text(idv, dv, "Proportions of", object, subset = subset, ...),
  stack = TRUE,
  horizontal = FALSE,
  strip = function(...) strip.default(..., strip.names = c(TRUE, TRUE)),
  scales = list(),
  inclZeroWRES = TRUE,
  onlyfirst = FALSE,
  samp = NULL,
  aspect = object@[e-mail]$aspect,
  auto.key = "Default",
  mirror = FALSE,
  mirror.aspect = "fill",
  pass.plot.list = FALSE,
  x.cex = NULL,
  y.cex = NULL,
  main.cex = NULL,
  mirror.internal = list(strip.missing = missing(strip)),
  ...
)

Arguments

object	Xpose data object.
dv	The dependent variable (e.g. "DV" or "CP".)
idv	The independent variable (e.g. "TIME".)
by	Conditioning variable
groups	How we should group values in each conditional plot.
force.by.factor	Should we force the data to be treated as factors?
recur	Not used.
xlb	A string giving the label for the x-axis. NULL if none.
ylb	A string giving the label for the y-axis. NULL if none.
subset	Subset of data.
vary.width	Should we vary the width of the bars to match amount of information?
level.to.plot	Which levels of the DV to plot.
refactor.levels	Should we refactor the levels?
main	The title of the plot.
stack	Should we stack the bars?
horizontal	Should the bars be horizontal?
strip	Defining how the strips should appear in the conditioning plots.
scales	Scales argument to xyplot.
inclZeroWRES	Include rows with WRES=0?
onlyfirst	Only include first data point for each individual?
samp	Sample to use in mirror plot (a number).
aspect	Aspect argument to xyplot.
auto.key	Make a legend.
mirror	Mirror can be FALSE, TRUE, 1 or 3.
mirror.aspect	Aspect for mirror.
pass.plot.list	Should the plot list be passed back to user?
x.cex	Size of x axis label.
y.cex	Size of Y axis label.
main.cex	Size of Title.
mirror.internal	Internal stuff.
...	Other arguments passed to function.

Author(s)

Andrew Hooker

See Also

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.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: 
## read in table files
runno <- 45
xpdb <- xpose.data(runno)

## make some stacked bar plots
cat.dv.vs.idv.sb(xpdb,idv=NULL,stack=F)
cat.dv.vs.idv.sb(xpdb,idv=NULL,stack=F,by="DOSE")
cat.dv.vs.idv.sb(xpdb,idv="DOSE")
cat.dv.vs.idv.sb(xpdb,idv=NULL,stack=F,by="TIME")
cat.dv.vs.idv.sb(xpdb,idv="TIME")
cat.dv.vs.idv.sb(xpdb,idv="CAVH")
cat.dv.vs.idv.sb(xpdb,idv="TIME",by="DOSE",scales=list(x=list(rot=45)))

## make some mirror plots
cat.dv.vs.idv.sb(xpdb,idv="DOSE",mirror=1)
cat.dv.vs.idv.sb(xpdb,idv="CAVH",mirror=1,auto.key=F)

## End(Not run)

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