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debrouwere.org
| | indrajeetpatil.github.io
6.2 parsecs away

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| | Extension of ggplot2, ggstatsplot creates graphics with details from statistical tests included in the plots themselves. It provides an easier syntax to generate information-rich plots for statistical analysis of continuous (violin plots, scatterplots, histograms, dot plots, dot-and-whisker plots) or categorical (pie and bar charts) data. Currently, it supports the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA, correlation analyses, contingency table analysis, meta-analysis, and regression analyses. References: Patil (2021) .
| | statsandr.com
1.8 parsecs away

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| | Learn how to perform a descriptive analysis of your data by hand. You will learn how to compute both location and dispersion measures to describe your data
| | gregorygundersen.com
1.9 parsecs away

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| | juliasilge.com
42.2 parsecs away

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| Because of Elizabeth Bennet, I Relearned What a Fourier Transform Is