These are elementary operations for a matrix. They do not presume a square matrix and will work on any matrix. They use R's internal row addressing to function.
swaprows(m, row1, row2)
replacerow(m, row1, row2, k)
scalerow(m, row, k)
m | a matrix |
---|---|
row1 | a source row |
row2 | a destination row |
k | a scaling factor |
row | a row to modify |
the modified matrix
replacerow
replaces one row with the sum of itself and the
multiple of another row. swaprows
swap two rows in the
matrix. scalerow
scales all enteries in a row by a constant.
Other linear:
choleskymatrix()
,
detmatrix()
,
gdls()
,
invmatrix()
,
iterativematrix
,
lumatrix()
,
refmatrix()
,
tridiagmatrix()
,
vecnorm()
n <- 5
A <- matrix(sample.int(10, n^2, TRUE) - 1, n)
A <- swaprows(A, 2, 4)
A <- replacerow(A, 1, 3, 2)
A <- scalerow(A, 5, 10)