[R] replacing NA's with 0 in a dataframe for specified columns

[John Fox]

Dear David,

How about the following?

cols <- c(1,3)
x[,cols][is.na(x[,cols])] <- 0

I hope that this helps,
 John

On Wed, 15 Sep 2004 14:44:53 -0400
 David Kane <dave at kanecap.com> wrote:
> I know that there must be a cool way of doing this, but I can't think
> of it. Let's say I have an dataframe with NA's.
> 
> > x <- data.frame(a = c(0,1,2,NA), b = c(0,NA,1,2), c = c(NA, 0, 1,
> 2))
> > x
>    a  b  c
> 1  0  0 NA
> 2  1 NA  0
> 3  2  1  1
> 4 NA  2  2
> > 
> 
> I know it is easy to replace all the NA's with zeroes.
> 
> > x[is.na(x)] <- 0
> > x
>   a b c
> 1 0 0 0
> 2 1 0 0
> 3 2 1 1
> 4 0 2 2
> > 
> 
> But how do I do this for just columns a and c, leaving the NA in
> column b alone?
> 
> Thanks,
> 
> Dave Kane
> 
> > R.version
>          _                
> platform i686-pc-linux-gnu
> arch     i686             
> os       linux-gnu        
> system   i686, linux-gnu  
> status                    
> major    1                
> minor    9.1              
> year     2004             
> month    06               
> day      21               
> language R                
> >
> 
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide!
> http://www.R-project.org/posting-guide.html

--------------------------------
John Fox
Department of Sociology
McMaster University
Hamilton, Ontario, Canada
http://socserv.mcmaster.ca/jfox/