colSums: Row and column sums and means

In salad: Simple Automatic Differentiation

Row and column sums and means

Description

Method extending to dual matrices the corresponding methods for dual matrices.

Usage

rowSums.dual(x, na.rm = FALSE, dims = 1, ...)

## S4 method for signature 'dual'
rowSums(x, na.rm = FALSE, dims = 1, ...)

colSums.dual(x, na.rm = FALSE, dims = 1, ...)

## S4 method for signature 'dual'
colSums(x, na.rm = FALSE, dims = 1, ...)

rowMeans.dual(x, na.rm = FALSE, dims = 1, ...)

## S4 method for signature 'dual'
rowMeans(x, na.rm = FALSE, dims = 1, ...)

colMeans.dual(x, na.rm = FALSE, dims = 1, ...)

## S4 method for signature 'dual'
colMeans(x, na.rm = FALSE, dims = 1, ...)

Arguments

x	a dual matrix or array
na.rm	if 'TRUE', missing values are removed
dims	which dimensions are regarded as rows and cols
...	extra parameters (ignored)

Value

a dual object (usually a dual vector).

Examples

x <- dual( c(1,2) )
x <- cbind(x, 2*x+1)
rowSums(x)
d(rowSums(x), "x1")

salad documentation built on April 4, 2025, 1:06 a.m.