Robust statistical methods in R using the WRS2 package

This paper introduces the R package WRS2 that implements various robust statistical methods. It elaborates on the basics of robust statistics by introducing robust location, dispersion, and correlation measures. The location and dispersion measures are then used in robust variants of independent and...

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Bibliographic Details
Published inBehavior research methods Vol. 52; no. 2; pp. 464 - 488
Main Authors Mair, Patrick, Wilcox, Rand
Format Journal Article
LanguageEnglish
Published New York Springer US 01.04.2020
Springer Nature B.V
Subjects
Analysis of covariance
Behavioral Science and Psychology
Behavioral Sciences
Cognitive Psychology
Models, Statistical
Psychology
Statistical methods
Statistics
Robust statistics
R
Robust ANOVA
Robust ANCOVA
Robust mediation
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Summary:This paper introduces the R package WRS2 that implements various robust statistical methods. It elaborates on the basics of robust statistics by introducing robust location, dispersion, and correlation measures. The location and dispersion measures are then used in robust variants of independent and dependent samples t tests and ANOVA, including between-within subject designs and quantile ANOVA. Further, robust ANCOVA as well as robust mediation models are introduced. The paper targets applied researchers; it is therefore kept rather non-technical and written in a tutorial style. Special emphasis is placed on applications in the social and behavioral sciences and illustrations of how to perform corresponding robust analyses in R. The R code for reproducing the results in the paper is given in the Supplementary Materials .
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ISSN:1554-3528
1554-3528
DOI:10.3758/s13428-019-01246-w