How to force aggregate to exclude NA ?

The aggregate function does "almost" all that I need to summarize a datasets, except that I can't specify exclusion of NAs without a little bit of hassle.

set.seed(143)
m <- data.frame(A=sample(LETTERS[1:5], 20, T), B=sample(LETTERS[1:10], 20, T), C=sample(c(NA, 1:4), 20, T), D=sample(c(NA,1:4), 20, T))
m

A B  C  D
1  E I  1 NA
2  A C NA NA
3  D I NA  3
4  C I  2  4
5  A C  3  2
6  E J  1  2
7  D J  2  2
8  C G  4  1
9  C D NA  3
10 B G  3 NA
11 C B  4  2
12 A B NA NA
13 E A NA  4
14 B B  3  3
15 E I  4  1
16 E J  3  1
17 B J  4  4
18 B J  1  3
19 D D  4  2
20 B B  4  3

aggregate(m[,-c(1:2)], by=list(m[,1]), sum)

Group.1  C  D
1       A NA NA
2       B 15 NA
3       C NA 10
4       D NA  7
5       E NA NA

aggregate(m[,-c(1:2)], by=list(m[,1]), length)

Group.1 C D
1       A 3 3
2       B 5 5
3       C 4 4
4       D 3 3
5       E 5 5

My own defined version of length and sum to exclude NA

mylength <- function(x) {  sum(as.logical(x), na.rm=T) }
mysum <- function(x) {sum(x, na.rm=T)}

aggregate(m[,-c(1:2)], by=list(m[,1]), mysum)   <----------------- this computes correctly.

Group.1  C  D
1       A  3  2
2       B 15 13
3       C 10 10
4       D  6  7
5       E  9  8

aggregate(m[,-c(1:2)], by=list(m[,1]), mylength) <----------------- this computes correctly.

Group.1 C D
1       A 1 1
2       B 5 4
3       C 3 4
4       D 2 3
5       E 4 4

There are other statistics I need to compute e.g. var, sd, and it is a hassle to create customized versions to exclude NA. Any alternative approaches ?


 
 
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