R help - Dec 2011 - Imputing data

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. 

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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

Hi,

For imputation using randomForest package, check

?rfImpute

Weidong

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
>>
>> 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
>
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