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Methods and Algorithms for Correlation Analysis in R

Makowski, D., Ben-Shachar, M., Patil, I., & Lüdecke, D.

Journal of Open Source Software, 2020

The correlation R package covers the whole family through one function — Pearson, Spearman, Kendall, biserial, polychoric, tetrachoric, partial and Bayesian — choosing the method that suits the variables it is given, and returning matrices that are ready to plot or report.

• DOI: 10.21105/joss.02306
• Full text (PDF)

Keywords: Software Development · Statistical Methods

Cite

Makowski, D., Ben-Shachar, M., Patil, I., & Lüdecke, D. (2020). Methods and Algorithms for Correlation Analysis in R. Journal of Open Source Software. https://doi.org/10.21105/joss.02306

See also

• effectsize: Estimation of Effect Size Indices and Standardized Parameters — Ben-Shachar, M., Lüdecke, D., & Makowski, D. (2020)
• Extracting, Computing and Exploring the Parameters of Statistical Models using R — Lüdecke, D., Ben-Shachar, M., Patil, I., & Makowski, D. (2020)
• bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework — Makowski, D., Ben-Shachar, M., & Lüdecke, D. (2019)