Blog Archives

Installation of WRS package (Wilcox’ Robust Statistics)

February 26, 2014
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Update Feb 17, 2014: WRS moved to Github – This installation procedure has been updated and still is valid Some users had trouble installing the WRS package from R-Forge. Here’s a method that should work automatically and fail-safe: [cc lan...

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At what sample size do correlations stabilize?

February 26, 2014
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Maybe you have encountered this situation: you run a large-scale study over the internet, and out of curiosity, you frequently  the correlation between two variables. My experience with this practice is usually frustrating, as in small sample sizes (a...

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Finally! Tracking CRAN packages downloads

February 26, 2014
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[Update June 12: Data.tables functions have been improved (thanks to a comment by Matthew Dowle); for a similar approach see also Tal Galili's post] The guys from RStudio now provide CRAN download logs (see also this blog post). Great work! I always as...

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Exploring the robustness of Bayes Factors: A convenient plotting function

February 26, 2014
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One critique frequently heard about Bayesian statistics is the subjectivity of the assumed prior distribution. If one is cherry-picking a prior, of course the posterior can be tweaked, especially when only few data points are at hand. For example, see ...

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New robust statistical functions in WRS package – Guest post by Rand Wilcox

February 26, 2014
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Today a new version (0.23.1) of the WRS package (Wilcox’ Robust Statistics) has been released. This package is the companion to his rather exhaustive book on robust statistics, “Introduction to Robust Estimation and Hypothesis Testing”...

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Interactive exploration of a prior’s impact

February 26, 2014
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The probably most frequent criticism of Bayesian statistics sounds something like “It’s all subjective – with the ‘right’ prior, you can get any result you want.”. In order to approach this criticism it has been sugg...

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