[R] Imputing data
anopheles123 at gmail.com
Sat Dec 3 01:08:58 CET 2011
For imputation using randomForest package, check
On Fri, Dec 2, 2011 at 6:00 PM, Peter Langfelder
<peter.langfelder at gmail.com> wrote:
> 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
>> 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.
> R-help at r-project.org mailing list
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
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