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
matrix
with 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)