permutAD: Generate data with permutation-based approach accounting for...

In ConNEcT: Contingency Measure-Based Networks for Binary Time Series

Generate data with permutation-based approach accounting for auto-dependence

Description

This function generates a new time serie with exactly the same relative frequency as the original one, and a similar auto-dependence by cutting the original variable in segments and shuffeling these segements.

Usage

permutAD(vec, nBloks = 10)

Arguments

vec	Time series vector
nBloks	positive integer indicating the number of segements/blocks (default 10)

Value

Time series vector with exactly the same relative frequency and a similar auto-dependence as the original vector

Examples

ts=rep(c(1,1,1,1,1,0,0,0),15)
permutAD(ts,nBloks=11)

ConNEcT documentation built on May 9, 2022, 9:05 a.m.