parm.vs.parm | R Documentation |
This function plots the parameter values stored in an Xpose data object versus each other in a series of graphs. The mirror functionality is available for this function.
parm.vs.parm(
object,
onlyfirst = TRUE,
abline = FALSE,
smooth = TRUE,
type = "p",
main = "Default",
...
)
object |
An xpose.data object. |
onlyfirst |
Logical value indicating whether only the first row per individual is included in the plot. |
abline |
Allows for a line of identity. |
smooth |
Logical value indicating whether an x-y smooth should be superimposed. The default is TRUE. |
type |
The plot type - defaults to points only. |
main |
The title of the plot. If |
... |
Other arguments passed to |
Each of the parameters in the Xpose data object, as specified in
object@Prefs@Xvardef$parms
, is plotted against the rest, creating a
stack of plots.
A wide array of extra options controlling xyplots
are available. See
xpose.plot.default
and xpose.panel.default
for
details.
Returns a stack of xyplots and histograms of parameters against parameters.
Andrew Hooker
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()
,
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
## Not run:
## We expect to find the required NONMEM run and table files for run
## 5 in the current working directory
xpdb <- xpose.data(5)
parm.vs.parm(xpdb)
parm.vs.parm(xpdb,mirror=3)
## End(Not run)
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