Abstract
Methods and Algorithms for Correlation Analysis in R
Highlights
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
We present correlation, a toolbox for the R language (R Core Team, 2019) and part of the easystats collection, focused on correlation analysis
Spearman’s rank correlation: A non-parametric measure of correlation, the Spearman correlation between two variables is equal to the Pearson correlation between the rank scores of those two variables; while Pearson’s correlation assesses linear relationships, Spearman’s correlation assesses monotonic relationships
Summary
Submitted: 21 May 2020 Published: 16 July 2020 License Authors of papers retain copyright and release the work under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Dominique Makowski1, Mattan S. Ben-Shachar2, Indrajeet Patil3, and Daniel Lüdecke4
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