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

In const-ae/sparseMatrixStats: Summary Statistics for Rows and Columns of Sparse Matrices

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

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,
  useNames = TRUE
)

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

Arguments

x	An NxK matrix-like object.
rows, 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.
useNames	If TRUE (default), names attributes of result are set. Else if FALSE, no naming support is done.

Details

The S4 methods for x of type matrix, array, table, 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)

const-ae/sparseMatrixStats documentation built on April 10, 2024, 5:27 p.m.