Quantile-quantile plots of weighted residuals for each individual in an Xpose data object, for Xpose 4

This is a compound plot consisting of QQ plots of the distribution of weighted residuals (any weighted residual produced by NONMEM) for every individual in the dataset. The function is a wrapper encapsulating arguments to the xpose.plot.qq function.

Usage

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

ind.plots.wres.qq(
  object,
  main = "Default",
  wres = "wres",
  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,
  type = "o",
  pch = object@Prefs@Graph.prefs$pch,
  col = object@Prefs@Graph.prefs$col,
  cex = object@Prefs@Graph.prefs$cex,
  abllty = object@Prefs@Graph.prefs$abllty,
  abllwd = object@Prefs@Graph.prefs$abllwd,
  ablcol = object@Prefs@Graph.prefs$ablcol,
  prompt = FALSE,
  main.cex = 0.9,
  mirror = NULL,
  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 link{xpose.plot.qq}.
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.
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.qq.
aspect: See xpose.plot.qq.
force.by.factor: See xpose.plot.qq.
ids: See xpose.plot.qq.
as.table: See xpose.plot.qq.
type: 1-character string giving the type of plot desired. The following values are possible, for details, see 'plot': '"p"' for points, '"l"' for lines, '"o"' for over-plotted points and lines, '"b"', '"c"') for (empty if '"c"') points joined by lines, '"s"' and '"S"' for stair steps and '"h"' for histogram-like vertical lines. Finally, '"n"' does not produce any points or lines.
pch: The plotting character, or symbol, to use. Specified as an integer. See R help on points. The default is an open circle.
col: The color for lines and points. Specified as an integer or a text string. A full list is obtained by the R command colours(). The default is blue (col=4).
cex: The amount by which plotting text and symbols should be scaled relative to the default. 'NULL' and 'NA' are equivalent to '1.0'.
abllty: Line type of the line of identity.
abllwd: Line width of the line of identity.
ablcol: Line colour of the line of identity.
prompt: Specifies whether or not the user should be prompted to press RETURN between plot pages. Default is FALSE.
main.cex: The size of the title.
mirror: Mirror plots are not yet implemented in this function and this argument must contain a value of NULL
max.plots.per.page: Maximum number of plots per page

Value

Returns a compound plot comprising QQ plots of weighted residuals conditioned on individual.

Details

Matrices of Q-Q plots of weighted residuals in each included individual are displayed.

A wide array of extra options controlling Q-Q plots are available. See xpose.plot.qq for details.

Functions

ind.plots.cwres.qq(): Q-Q plots of conditional weighted residuals for each individual

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.hist(), 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

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

Examples


ind.plots.cwres.qq(simpraz.xpdb,subset="ID<18")