The plot titles aren't pretty, but the following works for me:
R> library(randomForest)
randomForest 4.5-37
Type rfNews() to see new features/changes/bug fixes.
R> set.seed(1004)
R> iris.rf <- randomForest(iris[-5], iris[[5]], ntree=1001)
R> par(mfrow=c(2,2))
R> for (i in 1:4) partialPlot(iris.rf, iris, names(iris)[i])
Andy
From: Ben Bond-Lamberty
>
> Dear R Users,
>
> I'm using the randomForest package and would like to generate partial
> dependence plots, one after another, for a variety of variables:
>
> m <- randomForest( s, ... )
> varnames <- c( "var1", "var2", "var3", "var4" ) # var1..4 are all in
> data frame s
> for( v in varnames ) {
> partialPlot( x=m, pred.data=s, x.var=v )
> }
>
> ...but this doesn't work, with partialPlot complaining that it can't
> find the variable "v". I think I need to force the evaluation of the
> loop variable v so that partialPlot sees the correct variable names,
> but am stumped after trying eval and similar functions. Any
> suggestions on how to do this? Googling has not turned up anything
> very useful.
>
> Thanks,
> Ben
>
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