# colCummins-dgCMatrix-method: Calculates the cumulative minima for each row (column) of a... In sparseMatrixStats: Summary Statistics for Rows and Columns of Sparse Matrices

## Description

Calculates the cumulative minima for each row (column) of a matrix-like object.

## Usage

 ```1 2 3 4 5``` ```## S4 method for signature 'dgCMatrix' colCummins(x, rows = NULL, cols = NULL) ## S4 method for signature 'dgCMatrix' rowCummins(x, rows = NULL, cols = NULL) ```

## Arguments

 `x` An NxK matrix-like object. `rows` A `vector` indicating the subset of rows (and/or columns) to operate over. If `NULL`, no subsetting is done. `cols` A `vector` indicating the subset of rows (and/or columns) to operate over. If `NULL`, no subsetting is done.

## Details

The S4 methods for `x` of type `matrix`, `array`, or `numeric` call `matrixStats::rowCummins` / `matrixStats::colCummins`.

## Value

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()`.

## Examples

 ```1 2 3 4 5 6 7 8 9``` ```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) ```

sparseMatrixStats documentation built on Feb. 4, 2021, 2 a.m.