R help - Aug 2011 - Recoding observations in all columns of a data frame.

Dear all,

Suppose I have a data frame like this:

[code]
var1 <- c(1,999,2)
var2 <- c(999,1,2)
var3 <- c(1,2,999)
example <- data.frame(var1,var2,var3)
[/code]

I want to replace all 999 to NA in all observations in all columns. I
know how to do it in each individual column.

[code]
example$var1[example$var1==999] <- NA
[/code]

I think it can be done with a for loop.

[code]
for (i in 1:length(example))
  {
    example[,i][example[,i] == 999] <- NA
  }
[/code]

Is there any R-esque way to do this without using a for loop?

Thanks.

Regards,

CH
-- 
CH Chan

Dear CH,

Try

example[example == 999] <- NA
example

HTH,
Jorge


On Wed, Aug 31, 2011 at 4:48 AM, C.H. <> wrote:
> Dear all,
>
> Suppose I have a data frame like this:
>
> [code]
> var1 <- c(1,999,2)
> var2 <- c(999,1,2)
> var3 <- c(1,2,999)
> example <- data.frame(var1,var2,var3)
> [/code]
>
> I want to replace all 999 to NA in all observations in all columns. I
> know how to do it in each individual column.
>
> [code]
> example$var1[example$var1==999] <- NA
> [/code]
>
> I think it can be done with a for loop.
>
> [code]
> for (i in 1:length(example))
>  {
>    example[,i][example[,i] == 999] <- NA
>  }
> [/code]
>
> Is there any R-esque way to do this without using a for loop?
>
> Thanks.
>
> Regards,
>
> CH
> --
> CH Chan
>
> ______________________________________________
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