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 thenewstatistics.com
esci in jamovi | Introduction to the New Statistics
| | easystats.github.io
Dominance Effect Sizes for Rank Based Differences - rank_biserial effectsize
6.5 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().
| | andrewpwheeler.com
Testing the equality of two regression coefficients | Andrew Wheeler
5.1 parsecs away

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| | The default hypothesis tests that software spits out when you run a regression model is the null that the coefficient equals zero. Frequently there are other more interesting tests though, and this is one I've come across often -- testing whether two coefficients are equal to one another. The big point to remember is that...
| | statsandr.com
Student's t-test in R and by hand: how to compare two groups under different scenarios? - Stats and R
6.9 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
| | easystats.github.io
New formatting features in the parameters package easystats
30.9 parsecs away

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| You probably already have heard of the parameters package, a light-weight package to extract, compute and explore the parameters of statistical models using R (if not, there is a related publication introducing the package's main features). In this post, we like to introduce a new feature that facilitates nicely rendered output in markdown or HTML format (including PDFs). This allows you to easily create pretty tables of model summaries, for a large variety of models.