| cwres.vs.idv.bw {xpose4} | R Documentation |
Box-and-whisker plot of conditional weighted residuals vs the independent variable for Xpose 4
Description
This creates a box and whisker plot of conditional weighted residuals
(CWRES) vs the independent variable (IDV), and is a specific function in
Xpose 4. It is a wrapper encapsulating arguments to the
xpose.plot.bw function. Most of the options take their default values
from xpose.data object but may be overridden by supplying them as arguments.
Usage
cwres.vs.idv.bw(object, ...)
Arguments
object |
An xpose.data object. |
... |
Other arguments passed to |
Details
This creates a box and whisker plot of conditional weighted residuals
(CWRES) vs the independent variable (IDV), and is a specific function in
Xpose 4. It is a wrapper encapsulating arguments to the
xpose.plot.bw function. Most of the options take their default
values from xpose.data object but may be overridden by supplying them as
arguments.
Conditional weighted residuals (CWRES) require some extra steps to
calculate. See compute.cwres for details.
A wide array of extra options controlling bwplots are available. See
xpose.plot.bw and xpose.panel.bw for details.
Value
Returns a stack of box-and-whisker plots of CWRES vs IDV.
Author(s)
E. Niclas Jonsson, Mats Karlsson, Andrew Hooker & Justin Wilkins
See Also
xpose.plot.bw, xpose.panel.bw,
bwplot, xpose.prefs-class,
compute.cwres, 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.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
## Here we load the example xpose database
xpdb <- simpraz.xpdb
cwres.vs.idv.bw(xpdb)