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@Prefs@Graph.prefs$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.

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

Author

Andrew Hooker

Examples


if (FALSE) { # \dontrun{
## 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)
} # }

Categorical observations vs. independent variable using stacked bars.

Usage

Arguments

See also

Author

Examples