cwres_wres_vs_x: Weighted residuals (WRES) and conditional WRES (CWRES)...

Description Usage Arguments Details Value Functions Author(s) See Also Examples

Description

These functions graphically compare WRES and CWRES as plotted against the independent variable or the population predictions.

Usage

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cwres.wres.vs.idv(object, ylb = "Residuals", abline = c(0, 0),
  smooth = TRUE, scales = list(), ...)

cwres.wres.vs.pred(object, ylb = "Residuals", abline = c(0, 0),
  smooth = TRUE, scales = list(), ...)

Arguments

object

An xpose.data object.

ylb

A string giving the label for the y-axis. NULL if none.

abline

Vector of arguments to the panel.abline function. No abline is drawn if NULL.

smooth

A NULL value indicates that no superposed line should be added to the graph. If TRUE then a smooth of the data will be superimposed.

scales

scales is passed to xpose.plot.default

...

Other arguments passed to link[lattice]{xyplot}.

Details

This function creates plots of WRES and CWRES, presented side-by-side for comparison.

Conditional weighted residuals (CWRES) require some extra steps to calculate. See compute.cwres for details.

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

Value

A compound xyplot.

Functions

Author(s)

Niclas Jonsson & Andrew Hooker

See Also

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

Other specific functions: absval.cwres.vs.cov.bw, absval.cwres.vs.pred.by.cov, absval.cwres.vs.pred, absval.iwres.cwres.vs.ipred.pred, absval.iwres.vs.cov.bw, absval.iwres.vs.idv, absval.iwres.vs.ipred.by.cov, absval.iwres.vs.ipred, absval.iwres.vs.pred, absval.wres.vs.cov.bw, absval.wres.vs.idv, absval.wres.vs.pred.by.cov, absval.wres.vs.pred, 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.bw, cwres.vs.idv, cwres.vs.pred.bw, cwres.vs.pred, dOFV.vs.cov, dOFV.vs.id, dOFV1.vs.dOFV2, data.checkout, dv.preds.vs.idv, dv.vs.idv, dv.vs.ipred.by.cov, dv.vs.ipred.by.idv, dv.vs.ipred, dv.vs.pred.by.cov, dv.vs.pred.by.idv, dv.vs.pred.ipred, dv.vs.pred, gof, ind.plots.cwres.hist, ind.plots.cwres.qq, ind.plots, 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.bw, wres.vs.idv, wres.vs.pred.bw, wres.vs.pred, xpose.VPC.both, xpose.VPC.categorical, xpose.VPC, xpose4-package

Examples

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

cwres.wres.vs.idv(xpdb)

UUPharmacometrics/xpose4 documentation built on April 3, 2018, 12:05 p.m.