R help - Jan 2008 - Subsetting data frame problem....

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???

?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???
>
> ______________________________________________
> R-help at r-project.org mailing list
> 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?

You could try 

> complete.case.df <- na.omit(df)

Ross Darnell


-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
On Behalf Of Marko Milicic
Sent: Wednesday, 2 January 2008 11:50 AM
To: r-help at r-project.org
Subject: [R] Subsetting data frame problem....

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???

______________________________________________
R-help at r-project.org mailing list
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.