How should I drop blocks of NAs from an R data.table

Question

I have a large R data.table with a multi column key, where some value columns contain some NA. I\'d like to remove groups that are entirely NA in one or more value

Answer 1

What about using complete.cases function ?

DT[complete.cases(DT),]

It will drop the rows that have a column value with NA

> DT[complete.cases(DT),]
    Series Id Value1 Value2
 1:      b  4      4      1
 2:      b  5      5      2
 3:      b  6      6      3
 4:      c  7      7      4
 5:      c  8      8      5
 6:      c  9      9      6
 7:      f  4      4      1
 8:      f  5      5      2
 9:      f  6      6      3
10:      g  7      7      4
11:      g  8      8      5
12:      g  9      9      6
13:      j  4      4      1
14:      j  5      5      2
15:      j  6      6      3
16:      k  7      7      4
17:      k  8      8      5
18:      k  9      9      6