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 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.