subscript - in R Plot importance variables of Random Forest model -

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what doing wrong here? "subscript out of bound" mean?

i got below code (first block) excerpt form revolution r online seminar regarding datamining in r. i'm trying incorporate in rf model ran can't pass think ordering of variables. want plot importance of variables.

i included little more needed below give context. erroring out third line of code. second code block errors getting applied data working with. can me figure out?

    ------------------------------------------------------------------------- # list importance of variables. rn <- round(importance(model.rf), 2) rn[order(rn[,3], decreasing=true),] ##@# of  # plot variable importance varimpplot(model.rf, main="",col="dark blue") title(main="variable importance random forest weather.csv",             sub=paste(format(sys.time(), "%y-%b-%d %h:%m:%s"), sys.info()["user"]))  #--------------------------------------------------------------------------

my errors:

> rn[order(rn[,2], decreasing=true),] error in order(rn[, 2], decreasing = true) : subscript out of bounds

think understand confusion. bet 4-finger kit kat if type in ncol(rn) you'll see rn has 2 columns, not 3 might expect. first "column" you're seeing on screen isn't column - it's row names object rn. type rownames(rn) confirm this. final column of rn want order therefore rn[,2] rather rn[,3]. "subscript out of bounds" message comes because you've asked r order column 3, rn doesn't have column 3.

here's brief detective trail interested in "importance" object is... installed library(randomforest) , ran example documentation online:

set.seed(4543) data(mtcars) mtcars.rf <- randomforest(mpg ~ ., data=mtcars, ntree=1000,               keep.forest=false, importance=true) importance(mtcars.rf)

turns out "importance" object in case looks (first few rows save space):

       %incmse incnodepurity cyl  17.058932     181.70840 disp 19.203139     242.86776 hp   17.708221     191.15919 ...

obviously ncol(importance(mtcars.rf)) 2, , row names thing leading confusion :)


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