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 indrajeetpatil.github.io
Box/Violin plots for repeated measures comparisons - ggwithinstats ggstatsplot
| | easystats.github.io
Dominance Effect Sizes for Rank Based Differences - rank_biserial effectsize
4.0 parsecs away

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| | Compute the rank-biserial correlation (\(r_{rb}\)) and Cliff's delta (\(\delta\)) effect sizes for non-parametric (rank sum) differences. These effect sizes of dominance are closely related to the Common Language Effect Sizes. Pair with any reported stats::wilcox.test().
| | rdrr.io
wilcox.test: Wilcoxon Rank Sum and Signed Rank Tests
4.2 parsecs away

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| | statsandr.com
Student's t-test in R and by hand: how to compare two groups under different scenarios? - Stats and R
2.8 parsecs away

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| | Learn how to apply the Student's t-test by hand and in R in order to compare two independent or paired samples with known or unknown variances
| | ewulczyn.github.io
How Naive AB Testing Goes Wrong and How to Fix It - Ellery Wulczyn - Data Scientist @ WMF
19.0 parsecs away

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| Data Scientist @ WMF