| dv.vs.ipred {xpose4} | R Documentation |
Observations (DV) plotted against individual predictions (IPRED) for Xpose 4
Description
This is a plot of observations (DV) vs individual predictions (IPRED), 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 xpose.data object but may be overridden by supplying them as
arguments.
Usage
dv.vs.ipred(object, abline = c(0, 1), smooth = TRUE, ...)
Arguments
object |
An xpose.data object. |
abline |
Vector of arguments to the |
smooth |
Logical value indicating whether an x-y smooth should be superimposed. The default is TRUE. |
... |
Other arguments passed to |
Details
A wide array of extra options controlling xyplot are
available. See xpose.plot.default and
xpose.panel.default for details.
Value
Returns an xyplot of DV vs IPRED.
Author(s)
E. Niclas Jonsson, Mats Karlsson, Andrew Hooker & Justin Wilkins
See Also
xpose.plot.default,
xpose.panel.default, xyplot,
xpose.prefs-class, xpose.data-class
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.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
## Here we load the example xpose database
xpdb <- simpraz.xpdb
dv.vs.ipred(xpdb)
## A conditioning plot
dv.vs.ipred(xpdb, by="HCTZ")