How to remove NA values from a column and the corresponding values from an adjacent column in R

Question

I have a large dataframe and several columns are full of NAs.

Basically got a "score and class differ in length" error message in a function that doesn't support na.rm, so I want to create two new vectors from the dataframe to use for the function. One vector without the NAs, and the next vector without the corresponding values from the first.

How would I do this?

Answer 1

Hi@Marcelo,

You can use the filter keyword to find NAN values. It will search for all the position which has NAN values. 

$ df %>% filter(!is.na(col1))

Comments

Thank you for your answer @MD !

Will this filter out the corresponding values from a sector vector as well?