Methods and Algorithms for Correlation Analysis in R

Abstract

Correlations tests are arguably one of the most commonly used statistical procedures, and are used as a basis in many applications such as exploratory data analysis, structural modelling, data engineering etc. In this context, we present ‘correlation’, a toolbox for the R language and part of the ’easystats’ collection, focused on correlation analysis. Its goal is to be lightweight, easy to use, and allows for the computation of many different kinds of correlations.

Type
Publication
Journal of Open Source Software, 5(51), 2306
Dominique Makowski
Dominique Makowski
Lecturer in Psychology

Trained as neuropsychologist and CBT psychotherapist, I am currently working as a lecturer at the University of Sussex, on the neuroscience of reality perception.