Suppose I have the following two matrices, both with same number of rows
(3), but different number of columns (3 in test1, 4 in test2).
test1 <- matrix(c(1,1,0,1,0,-1,-1,-1,0),3,3,byrow=T);
test2 <- matrix( rep( 0, len=12), nrow = 3)
I label the rows and columns of the two matrices as follows:
rownames(test1) <- c("row1","row2","row3")
rownames(test2) <- c("row1","row2","row3")
colnames(test1) <- c("a","b","d")
colnames(test2) <- c("a","b","c","d")
So, if we look at the matrices, we see
test1
a b d
row1 1 1 0
row2 1 0 -1
row3 -1 -1 0
test2
a b c d
row1 0 0 0 0
row2 0 0 0 0
row3 0 0 0 0
So, we see that while both matrices have the same rows, the matrix test1
has a subset of the columns of test2. In test1, there is no column for
'c' -- have columns for 'a', 'b', 'd'.
Now, what I want to do is this -- take the information from each column
in test1, and substitute it into the same row/column in test2. The end
result should be a matrix that looks like:
a b c d
row1 1 1 0 0
row2 1 0 0 -1
row3 -1 -1 0 0
My initial though was some sort of merge by row and column, with some
funky sort of intersection, but I couldn't figure out how to get that to
work.
Any suggestions/pointers to the obvious most appreciated.
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
