Remove rows with all or some NAs (missing values) in data.frame

Question

I\'d like to remove the lines in this data frame that:

a) contain NAs across all columns. Below is my example data frame.

Answer 1

I prefer following way to check whether rows contain any NAs:

row.has.na <- apply(final, 1, function(x){any(is.na(x))})

This returns logical vector with values denoting whether there is any NA in a row. You can use it to see how many rows you'll have to drop:

sum(row.has.na)

and eventually drop them

final.filtered <- final[!row.has.na,]

For filtering rows with certain part of NAs it becomes a little trickier (for example, you can feed 'final[,5:6]' to 'apply'). Generally, Joris Meys' solution seems to be more elegant.