basic.gof | R Documentation |
This is a compound plot consisting of plots of observations (DV) vs
population predictions (PRED), observations (DV) vs individual predictions
(IPRED), absolute individual weighted residuals (|IWRES|) vs IPRED, and
weighted population residuals (CWRES) vs independent variable (IDV), a
specific function in Xpose 4. WRES are also supported. It is a wrapper
encapsulating arguments to the dv.vs.pred
, dv.vs.ipred
,
absval.iwres.vs.ipred
and wres.vs.idv
functions.
basic.gof(object, force.wres = FALSE, main = "Default", use.log = FALSE, ...)
object |
An xpose.data object. |
force.wres |
Should the plots use WRES? Values can be
|
main |
The title of the plot. If |
use.log |
Should we use log transformations in the plots? |
... |
Other arguments passed to |
Four basic goodness-of-fit plots are 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
for details.
basic.gof.cwres
is just a wrapper for basic.gof
with
use.cwres=TRUE
.
Returns a compound plot comprising plots of observations (DV) vs population predictions (PRED), DV vs individual predictions (IPRED), absolute individual weighted residuals (|IWRES|) vs IPRED, and weighted populations residuals (WRES) vs the independent variable (IDV).
E. Niclas Jonsson, Mats Karlsson, Andrew Hooker & Justin Wilkins
dv.vs.pred
, dv.vs.ipred
,
absval.iwres.vs.ipred
, wres.vs.idv
,
cwres.vs.idv
, xpose.plot.default
,
xpose.panel.default
, xyplot
,
compute.cwres
, 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.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.idv.bw()
,
wres.vs.pred()
,
wres.vs.pred.bw()
,
xpose.VPC()
,
xpose.VPC.both()
,
xpose.VPC.categorical()
,
xpose4-package
basic.gof(simpraz.xpdb)
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