colProds,xgCMatrix-method {sparseMatrixStats} | R Documentation |
Calculates the product for each row (column) in a matrix
## S4 method for signature 'xgCMatrix' colProds(x, rows = NULL, cols = NULL, na.rm = FALSE, useNames = NA) ## S4 method for signature 'xgCMatrix' rowProds(x, rows = NULL, cols = NULL, na.rm = FALSE, useNames = NA)
x |
An NxK matrix-like object. |
rows |
A |
cols |
A |
na.rm |
|
useNames |
If |
Attention: This method ignores the order of the values, because it assumes that the product is commutative. Unfortunately, for 'double' this is not true. For example 'NaN * NA = NaN', but 'NA * NaN = NA'. This is relevant for this function if there are '+-Inf', because 'Inf * 0 = NaN'. This function returns 'NA' whenever there is 'NA' in the input. This is different from 'matrixStats::colProds()'.
Returns a numeric
vector
of length N (K).
matrixStats::rowProds()
and
matrixStats::colProds()
which are used
when the input is a matrix
or numeric
vector.
For sums across rows (columns), see
rowSums2()
(colSums2()
)
base::prod()
.
mat <- matrix(rnorm(15), nrow = 5, ncol = 3) mat[2, 1] <- NA mat[3, 3] <- Inf mat[4, 1] <- 0 print(mat) rowProds(mat) colProds(mat)