Imputing data

On Fri, Dec 2, 2011 at 2:16 PM, khlam <khlam at 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