Efficient method to subset drop rows with NA values in R

Question

Background Before running a stepwise model selection, I need to remove missing values for any of my model terms. With quite a few terms in my model, there are t

Answer 1

Let dat be a data frame and cols a vector of column names or column numbers of interest. Then you can use

dat[!rowSums(is.na(dat[cols])), ]

to exclude all rows with at least one NA.