Last data update: 2014.03.03
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R: Categorical (visual) predictive check.
Categorical (visual) predictive check.
Description
Categorical (visual) predictive check plots.
Usage
cat.pc(object,
dv=xvardef("dv",object),
idv=xvardef("idv",object),
level.to.plot=NULL,
subset=NULL,
histo=T,
median.line=F,
PI.lines=F,
xlb=if(histo){
paste("Proportion of ",dv)
} else {
paste(idv)
},
ylb=if(histo){
paste("Percent of Total")
} else {
paste("Proportion of Total")
},
main=xpose.create.title.text(NULL,dv,
"Predictive check of",object,subset=subset,...),
strip="Default",
...)
Arguments
object |
Xpose data object.
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dv |
The dependent variable (e.g. "DV" or "CP" .)
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idv |
The indenpent variable (e.g. "TIME" .)
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level.to.plot |
The levels to plot.
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subset |
Subset of data.
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histo |
If FALSE then a VPC is created, given that idv is defined.
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median.line |
Make a median line?
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PI.lines |
Make prediction interval lines?
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xlb |
Label for x axis.
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ylb |
label for y axis.
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main |
Main title.
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strip |
Defining how the strips should appear in the conditioning plots.
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... |
Extra arguments passed to the function.
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Author(s)
Andrew C. Hooker
Examples
## Not run:
## read in table files
runno <- 45
xpdb <- xpose.data(runno)
## create proportion (visual) predictive check
cat.pc(xpdb,idv=NULL)
cat.pc(xpdb,idv="DOSE")
cat.pc(xpdb,idv="DOSE",histo=F)
cat.pc(xpdb,idv="TIME",histo=T,level.to.plot=1)
## End(Not run)
Results
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