Hello -
Diogo André Alagador wrote:
Dear all,
I have a matrix with positive and negative values.
From this I would like to produce 2 matrices:
1st - retaining positives and putting NA in other positions
2nd - retaining negatives and putting NA in other positions
and then apply rowMeans for both.
I am trying to use the function ifelse in the exemplified form:
ifelse(A>0,A,NA)
but by putting A as a 2nd parameter it changes dimensions of the original
object
I cannot reproduce this:
a <- matrix(sample(-10:10, 100, replace = TRUE), nrow = 10)
ifelse(a > 0 , a, NA)
gives me a 10 x 10 matrix of positive values and NA values, with 10 x 10
being the original dimensions of a.
rowMeans(ifelse(a > 0 , a, NA), na.rm = TRUE)
gives me what you'd like for positive values, I think?
I wonder if I can do this, as it seems not to difficult.
thanks in advance
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