Robust statistical methods in R using the WRS2 package

被引:756
作者
Mair, Patrick [1 ]
Wilcox, Rand [2 ]
机构
[1] Harvard Univ, Cambridge, MA 02138 USA
[2] Univ Southern Calif, Los Angeles, CA 90007 USA
关键词
Robust statistics; Robust ANOVA; Robust ANCOVA; Robust mediation; R; 2 INDEPENDENT GROUPS; EFFECT SIZE; DIFFERENCE;
D O I
10.3758/s13428-019-01246-w
中图分类号
B841 [心理学研究方法];
学科分类号
040201 [基础心理学];
摘要
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.
引用
收藏
页码:464 / 488
页数:25
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