Hi, For imputation using randomForest package, check
?rfImpute Weidong On Fri, Dec 2, 2011 at 6:00 PM, Peter Langfelder <peter.langfel...@gmail.com> wrote: > On Fri, Dec 2, 2011 at 2:16 PM, khlam <kh...@ucsc.edu> wrote: >> So I have a very big matrix of about 900 by 400 and there are a couple of NA >> in the list. I have used the following functions to impute the missing data >> >> data(pc) >> pc.na<-pc >> pc.roughfix <- na.roughfix(pc.na) >> pc.narf <- randomForest(pc.na, na.action=na.roughfix) >> >> >> yet it does not replace the NA in the list. Presently I want to replace the >> NA with maybe the mean of the rows or columns or some type of correlation. >> >> Any help would be appreciated. > > There are several imputation functions available in the various > packages - for example, packages Hmisc and e1071 both contain a > function called impute, and the package impute contains the function > impute.knn for nearest neighbor imputation. > > HTH, > > Peter > > ______________________________________________ > 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. ______________________________________________ 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.
