wres.vs.idv.bw {xpose4} | R Documentation |
Box-and-whisker plot of weighted residuals vs the independent variable for Xpose 4
Description
This creates a box and whisker plot of weighted residuals (WRES) 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
wres.vs.idv.bw(object, ...)
Arguments
object |
An xpose.data object. |
... |
Other arguments passed to |
Details
This creates a box and whisker plot of weighted residuals (WRES) 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.
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 WRES 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
,
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.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.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
wres.vs.idv.bw(xpdb)