A colleague wrote the following syntax for me:
D = read.csv("x.csv")
## Convert -999 to NA
for (k in 1:dim(D)[2]) {
I = which(D[,k]==-999)
if (length(I) > 0) {
D[I,k] = NA
}
}
The dataset has many missing values. I am running several regressions on
this dataset, and want to ensure every regression has the same subjects.
Thus I want to drop subjects listwise for dependent variables y1-y9 and
covariates x1-x5 (if data is missing on ANY of these variables, drop
subject).
How would I do this after running the syntax above?
Thank you
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