colDiffs-dgCMatrix-method: Calculates the difference between each element of a row...

In sparseMatrixStats: Summary Statistics for Rows and Columns of Sparse Matrices

Description

Calculates the difference between each element of a row (column) of a matrix-like object.

Usage

## S4 method for signature 'dgCMatrix'
colDiffs(x, rows = NULL, cols = NULL, lag = 1L, differences = 1L)

## S4 method for signature 'dgCMatrix'
rowDiffs(x, rows = NULL, cols = NULL, lag = 1L, differences = 1L)

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.
lag	An integer specifying the lag.
differences	An integer specifying the order of difference.

Details

The S4 methods for x of type matrix, array, or numeric call matrixStats::rowDiffs / matrixStats::colDiffs.

Value

Returns a numeric matrix with one column (row) less than x: Nx(K-1) or (N-1)xK.

See Also

• matrixStats::rowDiffs() and matrixStats::colDiffs() which are used when the input is a matrix or numeric vector.

• base::diff().

Examples

mat <- matrix(rnorm(15), nrow = 5, ncol = 3)
  mat[2, 1] <- NA
  mat[3, 3] <- Inf
  mat[4, 1] <- 0
  
  print(mat)
  
  rowDiffs(mat)
  colDiffs(mat)

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