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Common statistical tests are linear models (or: how to teach stats)

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The simulated data is currently balanced, normal, with approx. equal variances and no correlation. The results should generalize with deviations from these. If this can be implemented in a way...

Make these figures, and include them in the cheat sheet.

Make a good figure and icon, and include it in the cheat sheet.

The code referenced the $statisitc and $p.value from the correlation example further up. Now it should be correct. Great post!

Hi This link `https://www.uni-tuebingen.de/fileadmin/Uni_Tuebingen/SFB/SFB_833/A_Bereich/A1/Christoph_Scheepers_-_Statistikworkshop.pdf` doesn't work anymore. Thanks

Usually, we use a symmetric matrix for the `Sigma` parameter of `MASS::mvrnorm` function. ``` # Fixed correlation D_correlation = data.frame(MASS::mvrnorm(30, mu = c(0.9, 0.9), Sigma = matrix(c(1, 0.8, 1, 0.8),...

Hi! In the first paragraph of Section 7, there is a statement: > See [this nice introduction](https://www.uni-tuebingen.de/fileadmin/Uni_Tuebingen/SFB/SFB_833/A_Bereich/A1/Christoph_Scheepers_-_Statistikworkshop.pdf) to Chi-Square tests as linear models. for which the link is broken. I...