genMatrixMult: Generalized matrix multiplication

In blockmodelingTest: Testing Version: Generalized and Classical Blockmodeling of Valued Networks

Description

Computes a generalized matrix multiplication, where sum and product functions (elemet-wise and summary functions) can be replaced by arbitrary functions.

Usage

genMatrixMult(A, B, FUNelement = "*", FUNsummary = sum)

Arguments

A	The first matrix.
B	The second matrix.

FUNelement	Element-wise operator.
FUNsummary	Summary function.

Value

A character vector or matrix.

Author(s)

Aleš Žiberna

See Also

matmult

Examples

# Operations can be anything
x <- matrix(letters[1:8], ncol = 2)
y <- matrix(1:10, nrow = 2)

genMatrixMult(x, y, FUNelement = paste,
FUNsummary = function(x) paste(x, collapse = "|"))

# Binary logic
set.seed(1)
x <- matrix(rbinom(8, size = 1, prob = 0.5) == 1, ncol = 2)
y <- matrix(rbinom(10, size = 1, prob = 0.5) == 1, nrow = 2)
genMatrixMult(x, y, FUNelement = "*", FUNsummary = any)

blockmodelingTest documentation built on May 2, 2019, 5:57 p.m.