dv.vs.ipred.by.cov {xpose4} | R Documentation |
Dependent variable vs individual predictions, conditioned on covariates, for Xpose 4
Description
This is a plot of dependent variable (DV) vs individual predictions (IPRED)
conditioned by covariates, 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.by.cov(
object,
covs = "Default",
abline = c(0, 1),
smooth = TRUE,
main = "Default",
...
)
Arguments
object |
An xpose.data object. |
covs |
A vector of covariates to use in the plot. If "Default" the
the covariates defined in |
abline |
Vector of arguments to the |
smooth |
Logical value indicating whether an x-y smooth should be superimposed. The default is TRUE. |
main |
The title of the plot. If |
... |
Other arguments passed to |
Details
Each of the covariates in the Xpose data object, as specified in
object@Prefs@Xvardef$Covariates
, is evaluated in turn, creating a
stack of plots.
A wide array of extra options controlling xyplot
are
available. See xpose.plot.default
and
xpose.panel.default
for details.
Value
Returns a stack of xyplot
s of DV vs IPRED, conditioned on
covariates.
Author(s)
E. Niclas Jonsson, Mats Karlsson, Andrew Hooker & Justin Wilkins
See Also
dv.vs.ipred
, 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()
,
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
dv.vs.ipred.by.cov(simpraz.xpdb, covs=c("HCTZ","WT"), max.plots.per.page=2)