TImA97/randfindR: Analysis of Randomness in Human Generated Sequences

Humans often have problems generating truly random sequences of numbers or letters. The extent to which they are able to behave randomly can be assessed with a variety of algorithms. These algorithms check for different characteristics that a random sequence sequence should fullfil. Each function in the package receives as input a sequence of distinct options and provides as output a measure of randomness. The implemented indices of randomness are based on the work of Ginsburg & Karpiuk (1994, <doi:10.2466/pms.1994.79.3.1059>), Towse & Neil (1998, <doi:10.3758/BF03209475>), and Skliar, Monge, Oviedo, & Medina (2009, <doi:10.15517/rmta.v16i1.1418>).

Getting started

Package details

AuthorTim Angelike [aut, cre]
MaintainerTim Angelike <tim.angelike@gmx.de>
LicenseMIT + file LICENSE
Version0.1.0
URL https://github.com/TImA97/randfindR
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("TImA97/randfindR")
TImA97/randfindR documentation built on July 1, 2024, 7:56 p.m.