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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