Robust statistical methods in R using the WRS2 package

By Patrick Mair, Rand R. Wilcox. Behavior Research Methods, 2019

959 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/ce06244fafe58e4e43ba769b02350079f6169c29

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. Fergal W. Jones
2. J. Cane
3. Sarah Strohmaier

Citations in the corpus

• Effects of Length of Mindfulness Practice on Mindfulness, Depression, Anxiety, and Stress: a Randomized Controlled Experiment (2020, methodology): “Therefore, as a check, all analyses were repeated using robust methods, namely ANOVAs on trimmed means and associated post-hoc tests, using R version 3.6.2 (The R Foundation for Statistical Computing 2019) with the package WRS2 (Mair and Wilcox 2019).”
• RELAX‐Jr: An Automated Pre‐Processing Pipeline for Developmental EEG Recordings (2024, unknown): “…how many epochs contained residual electromyographic (EMG) contamination after cleaning, we determined the number of EEG epochs with any electrode showing a log-power log-frequency slopes greater than − 0.59, which previous research has indicated to reflect muscle activity (Fitzgibbon et al. 2016).”