Tutorial by Examples

First lets create a vector called Vector1: set.seed(123) Vector1 <- rnorm(20) And add missing data to it: set.seed(123) Vector1[sample(1:length(Vector1), 5)] <- NA Now we can use the is.na function to subset the Vector Vector1 <- Vector1[!is.na(Vector1)] Now the resulting vect...

There might be times where you have a data frame and you want to remove all the rows that might contain an NA value, for that the function complete.cases is the best option. We will use the first 6 rows of the airquality dataset to make an example since it already has NAs x <- head(airquality) ...