Harvard University, Cambridge, MA, 02138, USA.
University of Southern California, Los Angeles, CA, 90007, USA.
Behav Res Methods. 2020 Apr;52(2):464-488. doi: 10.3758/s13428-019-01246-w.
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.
本文介绍了 R 包 WRS2，它实现了各种稳健的统计方法。通过引入稳健的位置、分散和相关度量，本文详细介绍了稳健统计学的基础知识。然后，在独立样本和相关样本 t 检验以及方差分析的稳健变体中使用了位置和分散度量，包括组内和组间设计以及分位数方差分析。此外，还介绍了稳健的协方差分析和稳健的中介模型。本文针对应用研究人员，因此保持了相当非技术性的风格，并以教程的形式编写。特别强调了在社会和行为科学中的应用，并说明了如何在 R 中执行相应的稳健分析。本文提供了在补充材料中重现结果的 R 代码。
