[R] replace NAs in each column of a matrix with 0 or 1 or 2 with specific proportion

[Bert Gunter]

Sidenote:

When you do imputation in this way all your inference (error
estimates, goodness of fit, confidence intervals, etc.) will be wrong
and misleading, as you are creating "information" from nothing.

If this comment is irrelevant, please ignore.

Cheers,
Bert
Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Mon, Jun 6, 2016 at 1:38 PM, Lida Zeighami <lid.zigh at gmail.com> wrote:
> Hello specialist,
>
> I have a matrix in which there are NA,0,1 and 2 in each columns.
> I wanna replace NAs with special proportion of 0,1 or 2 !
> for example in df<- matric(df, nrow=50, ncol=100)
>
> If in one column the number of NAs = 10 , # of 0=50 , #of 1=25  and # of
> 2=15
> I want to replace  5 of 10 NAs with 0 , 3 NAs with 1 and 2 NAs with 2!
>
>
> I've already calculated the proportion of 0, 1 and 2 for each column, just
> I don't know how to replace the number of NAs with these number (0,1,2) and
> specific proportion?
>
> Thank you very much in advance
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> 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.