This is a compound plot consisting of histograms of the distribution of
weighted residuals (any weighted residual available from NONMEM) for every
individual in the dataset. It is a wrapper encapsulating arguments to the
xpose.plot.histogram
function.
ind.plots.cwres.hist(object, wres = "cwres", ...)ind.plots.wres.hist(
object,
main = "Default",
wres = "wres",
ylb = NULL,
layout = c(4, 4),
inclZeroWRES = FALSE,
subset = xsubset(object),
scales = list(cex = 0.7, tck = 0.5),
aspect = "fill",
force.by.factor = TRUE,
ids = F,
as.table = TRUE,
hicol = object@Prefs@Graph.prefs$hicol,
hilty = object@Prefs@Graph.prefs$hilty,
hilwd = object@Prefs@Graph.prefs$hilwd,
hidcol = object@Prefs@Graph.prefs$hidcol,
hidlty = object@Prefs@Graph.prefs$hidlty,
hidlwd = object@Prefs@Graph.prefs$hidlwd,
hiborder = object@Prefs@Graph.prefs$hiborder,
prompt = FALSE,
mirror = NULL,
main.cex = 0.9,
max.plots.per.page = 1,
...
)
An xpose.data object.
Which weighted residual should we plot? Defaults to the WRES.
Other arguments passed to xpose.plot.histogram
.
The title of the plot. If "Default"
then a default title
is plotted. Otherwise the value should be a string like "my title"
or
NULL
for no plot title.
A string giving the label for the y-axis. NULL
if none.
A list giving the layout of the graphs on the plot, in columns and rows. The default is 4x4.
Logical value indicating whether rows with WRES=0 is included in the plot. The default is FALSE.
A string giving the subset expression to be applied to the
data before plotting. See xsubset
.
the fill colour of the histogram - an integer or string. The
default is blue (see histogram
).
the border line type of the histogram - an integer. The
default is 1 (see histogram
).
the border line width of the histogram - an integer. The
default is 1 (see histogram
).
the fill colour of the density line - an integer or string.
The default is black (see histogram
).
the border line type of the density line - an integer. The
default is 1 (see histogram
).
the border line width of the density line - an integer. The
default is 1 (see histogram
).
the border colour of the histogram - an integer or string.
The default is black (see histogram
).
Specifies whether or not the user should be prompted to press RETURN between plot pages. Default is FALSE.
Mirror plots are not yet implemented in this function and this
argument must contain a value of NULL
The size of the title.
Maximum number of plots per page
Returns a compound plot comprising histograms of weighted residual conditioned on individual.
ind.plots.cwres.hist
: Histograms of conditional
weighted residuals for each individual
Matrices of histograms of weighted residuals in each included individual are
displayed. ind.plots.cwres.hist
is just a wrapper for
ind.plots.wres.hist(object,wres="cwres").
xpose.plot.histogram
,
xpose.panel.histogram
, histogram
,
xpose.prefs-class
, xpose.data-class
Other specific functions:
absval.cwres.vs.cov.bw()
,
absval.cwres.vs.pred.by.cov()
,
absval.cwres.vs.pred()
,
absval.iwres.cwres.vs.ipred.pred()
,
absval.iwres.vs.cov.bw()
,
absval.iwres.vs.idv()
,
absval.iwres.vs.ipred.by.cov()
,
absval.iwres.vs.ipred()
,
absval.iwres.vs.pred()
,
absval.wres.vs.cov.bw()
,
absval.wres.vs.idv()
,
absval.wres.vs.pred.by.cov()
,
absval.wres.vs.pred()
,
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.bw()
,
cwres.vs.idv()
,
cwres.vs.pred.bw()
,
cwres.vs.pred()
,
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.by.cov()
,
dv.vs.ipred.by.idv()
,
dv.vs.ipred()
,
dv.vs.pred.by.cov()
,
dv.vs.pred.by.idv()
,
dv.vs.pred.ipred()
,
dv.vs.pred()
,
gof()
,
ind.plots.cwres.qq()
,
ind.plots()
,
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.bw()
,
wres.vs.idv()
,
wres.vs.pred.bw()
,
wres.vs.pred()
,
xpose.VPC.both()
,
xpose.VPC.categorical()
,
xpose.VPC()
,
xpose4-package
# NOT RUN {
## Here we load the example xpose database
xpdb <- simpraz.xpdb
## A plot of the first 16 individuals
ind.plots.cwres.hist(xpdb, subset="ID<18")
# }
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