Hello everyone,
I am trying to figure out a way of replacing missing observations in one of
the variables of a data frame by values of another variable. For example,
assume my data is X
X <-as.data.frame(matrix(c(9, 6, 1, 3, 9, "NA", "NA","NA","NA","NA",
6, 4, 3,"NA", "NA", "NA", 5, 4, 1, 3), ncol=2))
names(X)<-c("X1","X2")
I want to change X1 so that instead of the missing values it uses the values
in X2 (regardless of whether these are missing). So my X1, should become
X$X1 <- c(9, 6, 1, 3, 9, "NA", 5, 4, 1, 3).
I have searched online for a while and looked at the manuals and the best
(unsuccessful) attempt I have come up with is
X$X1[X$X1=="NA"] <- X$X2
and that produces the following X1
X$X1<-c(9, 6, 1, 3, 9, 6, "NA", 3, "NA", "NA")
and generates the following warning:
Warning messages:
1: In `[<-.factor`(`*tmp*`, X$X1 == "NA", value = c(5L, 3L, 2L, 6L, :
invalid factor level, NAs generated
2: In x[...] <- m :
number of items to replace is not a multiple of replacement length
I think that my error is that it is ignoring the non-missing values of X1
and the dimensions don't match. But what I want my code to do is to look at
the rows of X1, see if it's a missing value; if it is, replace it with the
value that is in the row of X2; if it's not missing, leave it as is.
What am I doing wrong?
Thank you very much!
Rita
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