How to identify which columns are not NA per row in a matrix

Question

I have a matrix of 12 rows and 77 columns, but let's only utilise the following:

p- matrix(NA,5,7) p[1,2]-0.3 p[1,3]-0.5 p[2,4]-0.3

p[2,7] -0.9

p[4,5] -0.4

<-0.6
I'd like to know which columns in each row are not "NA," so I'd like to receive something like:

[1], [2,3], [2], [3], [4], [5], [6], [ 3 [4] [4] 0 (5) [(5)] I get 0 if I do > which(p[]!="NA"), but if I do > which(p[]!="NA"), I get [1] 6-11-17-24-32

I attempted to use a loop:

aux - matrix(NA,5,7) for(i in 1:5) aux[i,]-which(p[i,]!="NA") aux[i,]-which(p[i,]!="NA") aux[i,]-which(p[i,]!="NA") aux[i,]-which(p[i,]!="NA") aux
However, I receive the following error: The number of things to be replaced does not equal the length of the replacement.

Is there a way to make this happen? Please accept my sincere gratitude.