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 in:Behavior research methods Vol. 52; no. 2; pp. 464 - 488
Main Authors: Mair, Patrick, Wilcox, Rand
Format: Journal Article
Language:English
Published: New York Springer US 01.04.2020
Springer Nature B.V
Subjects:
Analysis of covariance
Behavioral Science and Psychology
Behavioral Sciences
Cognitive Psychology
Mediation
Models, Statistical
Psychology
Social factors
Statistical analysis
Statistical methods
Statistics
Variance analysis
Variants
Robust statistics
R
Robust ANOVA
Robust ANCOVA
Robust mediation
ISSN:1554-3528, 1554-3528
Online Access:Get full text
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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