My objective is to create:
- a randomly populated matrix with entries either
0
or1
. In this particular case, the matrix is4x24
. - The row sum of each of the
4
rows is exactly6
. - The column sum of each of the
24
columns is exactly1
Call the desired matrix M
.
Another way of looking at M
:
- There are exactly
24
entries equal to1
. - No column has more than one
1
entry.
Progress:
There are 6
spots on each row with a 1
entry. The rest are zero, the matrix is sparse. With 4
rows, this means that M can be uniquely determined by a matrix of indices that stores the locations of the 1
entries. Call this matrix of indices indexM
.
I populated indexM
with the numbers 1:24
sampled without replacement:
set.seed(30592)
colNum <- 24
rowSum <-6
numZeros <- colNum-rowSum
OneRow<-c(rep(1,rowSum),rep(0,numZeros))
indexM<-matrix(sample(1:24,replace=FALSE),
nrow=4,ncol=6,byrow=TRUE)
For the given seed, the matrix is: https://pastebin.com/8T21MiDv .
How do I turn indexM
into the desired sparse matrix?
I found the sparseMatrix
in the Matrix
library, but it wants a vector or row indices and another vector of column indices, which is not what I have.
Thank you.
sparseMatrix(rep(1:4, each=6), sample(24))
seems to be it, pretty directly from reading?sparseMatrix
..? – Franki
andj
? If you can explain the syntax in an answer that would be fantastic – GFauxPas