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Check your outliers! An introduction to identifying statistical outliers in R with easystats

Thériault, R., Ben-Shachar, M. S., Patil, I., Lüdecke, D., Wiernik, B. M., & Makowski, D.

Behavior Research Methods, 2024

Outliers are usually removed on a rule of thumb and rarely reported. This tutorial sets out what an outlier actually is, which detection method suits which design, and how to run and document the whole procedure in R with easystats.

• DOI: 10.3758/s13428-024-02356-w

Keywords: Statistical Methods · Software Development · Open Science

Cite

Thériault, R., Ben-Shachar, M. S., Patil, I., Lüdecke, D., Wiernik, B. M., & Makowski, D. (2024). Check your outliers! An introduction to identifying statistical outliers in R with easystats. Behavior Research Methods. https://doi.org/10.3758/s13428-024-02356-w

See also

• Where Are We Going with Statistical Computing? From Mathematical Statistics to Collaborative Data Science — Makowski, D., & Waggoner, P. D. (2023)
• The psycho Package: an Efficient and Publishing-Oriented Workflow for Psychological Science — Makowski, D. (2018)
• modelbased: An R package to make the most out of your statistical models through marginal means, marginal effects, and model predictions — Makowski, D., Ben-Shachar, M. S., Wiernik, B. M., Patil, I., Thériault, R., & Lüdecke, D. (2025)