Hello R-world,
Please, help me to get round my little mess
I have a data.frame in which I'd rather like some values to be NA for the
future imputation process.
I've come up with the following piece of code:
random.del <- function (x, n.keeprows, del.percent){
n.items <- ncol(x)
k <- n.items*(del.percent/100)
x.del <- x
for (i in (n.keeprows+1):nrow(x)){
j <- sample(1:n.items, k)
x.del[i,j] <- NA
}
return (x.del)
}
The problems is that random.del turns out to be slow on huge samples.
Is there any other more effective/charming way to do the same?
Thanks,
Sergey
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