Re: [R] Missing Data and applying

This might help the first question: > da <- (-1):1 > x <- data.frame(a1=sample(da,10,TRUE), a2=sample(da,10,TRUE), a3=sample(da,10,TRUE)) > x a1 a2 a3 1 0 1 0 2 0 0 1 3 0 1 0 4 -1 0 -1 5 1 0 -1 6 1 1 -1 7 1 -1 -1 8 -1 0 0 9 1 1 0 10 0 1 0 > is.na(x[1:3]) <- x[1:3

[R] Missing Data and applying

Hi All, Newbie question that i'm sure is easy, but i can't seem to apply properly I read in a datafram from a CSV file and i want to tell R that from coloum "n_0" to "n_32" the value "-1" is missing data i was looking at the is.na(xx) <- c(..,...,) idea but i can't seem to apply it properly, can