[R] Subsetting data frame problem....
jim holtman
jholtman at gmail.com
Wed Jan 2 02:57:35 CET 2008
?complete.cases
On Jan 1, 2008 8:50 PM, Marko Milicic <milicic.marko at gmail.com> wrote:
> Dear R users,
>
> I'm new but already fascinated R user so please forgive for my
> ignorance. I have the problem, I read most of help pages but couldn't
> find the solution. The problem follows....
>
> I have large data set 10,000 rows and more than 100 columns... Say
> something like
>
> var1,var2,var2,var4.......var120
> -------------------------------------------
> 12,12,345,657,67,8.....
> 12,12,345,657,0,8.....
> NA,12,345,657,NA,8.....
> 12,12,NA,657,67,8.....
> 12,12,345,657,NA,8.....
>
> I would like to select only rows where all variables are not NA.... so
> I can do something like
>
>
> df <- subset(
> df
> , !is.na(var1) & !is.na(var2) &
> !is.na(var3) & !is.na(var4) & !is.na(var5)......................
> );
>
>
> But that would be very bad solution because I have more than 100
> variables and if would be lengthy code to maintan..... also, it might
> be error prone programming style...Am I right?
>
> my question is if there is some smarter way of doing this which would
> work even if I have 1000 variables???
>
> ______________________________________________
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> 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.
>
--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem you are trying to solve?
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