| colCummins,dgCMatrix-method {sparseMatrixStats} | R Documentation |
Calculates the cumulative minima for each row (column) of a matrix-like object.
## S4 method for signature 'dgCMatrix' colCummins(x, rows = NULL, cols = NULL) ## S4 method for signature 'dgCMatrix' rowCummins(x, rows = NULL, cols = NULL)
x |
An NxK matrix-like object. |
rows |
A |
cols |
A |
The S4 methods for x of type matrix,
array, or numeric call
matrixStats::rowCummins
/ matrixStats::colCummins.
Returns a numeric matrixwith the same
dimensions as x.
matrixStats::rowCummins() and
matrixStats::colCummins() which are
used when the input is a matrix or numeric vector.
For single minimum estimates, see rowMins().
base::cummin().
mat <- matrix(rnorm(15), nrow = 5, ncol = 3) mat[2, 1] <- NA mat[3, 3] <- Inf mat[4, 1] <- 0 print(mat) rowCummins(mat) colCummins(mat)