Problem: how to clean a rectangular dataframe full of NA values without remove the rows or columns?
Brilliant, kudos to Gregor
> messy <- data.frame(a = c(1, NA, 2), b = c(2, NA, 3), c = c(NA, "A", "B")) > messy a b c 1 1 2 <NA> 2 NA NA A 3 2 3 B > clean <- as.data.frame(lapply(messy, na.omit)) > clean a b c 1 1 2 A 2 2 3 B
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