I think you want something like so: # make some data foo.df <- data.frame(x = 1:100, y = runif(100), age = rnorm(100, 10, 1)) # stick some "real" NAs in all columns foo.df[c(2,78,32,56),] <- NA # make some "errant" NAs in the column age foo.df$age[c(99, 26, 75, 3)] <- NA # eg foo.df[1:5,] # remove the errant NAs with is.na foo.df <- foo.df[!(is.na(foo.df$age) == T & is.na(foo.df$x) == F),] foo.df[1:5,]
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