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

[Corey Moffet]

try:

x[is.na(x$a) | is.na(x$c),] <- 0

At 02:44 PM 9/15/2004 -0400, David Kane 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                
>>
>
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>
With best wishes and kind regards I am

Sincerely,

Corey A. Moffet
Rangeland Scientist

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