assumption checks in ggstatsplot

Question

I just discovered the ggstatspackage which is really amazing.

I wonder if there is a way to have assumptions checks for ANOVA or t-tests? (like levene test and shapiro tests)

Also, I wonder if there is a way to automatically remove outliers when performing the inferential statistics?

It's easier to help you if you include a simple [reproducible example](https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example) with sample input and desired output that can be used to test and verify possible solutions. The assumptions you make when model fitting or identifying a sample as an outlier are dependent on a deep understanding of your data, where it came from, and what type of inference you want to make about your data. The practice of statistics has not yet been automated. — MrFlick, Oct 14 '21 at 17:23

score 2 · Accepted Answer · answered Oct 15 '21 at 07:43

I wonder if there is a way to have assumptions checks for ANOVA or t-tests? (like levene test and shapiro tests)

No. You can check out {performance} package to check model assumptions:

Also, I wonder if there is a way to automatically remove outliers when performing the inferential statistics?

No, this is not possible. {ggstatsplot} provides two ways to deal with outliers:

visually highlight them (using outlier.tagging = TRUE) in plots
use robust statistics (type = "robust"), which is robust to presence of outliers

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