oddDiffFunc: oddDiffFunc function

In BiCausality: Binary Causality Inference Framework

oddDiffFunc function

Description

Given the samples in the n by d matrix mat where n is a number of samples and d is a number of dimensions. This function computes an odd difference value of variables of ith and jth dimensions from a given an aligned list of transactions D (compute by D<-VecAlignment(mat)).

Usage

oddDiffFunc(D, i, j, z = c())

Arguments

D	is an aligned list of transactions that was converted from mat.
i	is an ith dimension in mat for computing the odd difference with.
j	is an jth dimension in mat for computing compute the odd difference with.
z	is a conditioning d-dimensional vector on D. Given k non-negative-bit positions of z, all k bit positions of samples in the subset of D must have similar values with these bits.

Value

This function returns an odd difference value of variables of ith and jth dimensions from D.

Examples

oddDiffFunc(D,i=1,j=2)

BiCausality documentation built on May 29, 2024, 5:35 a.m.