Raphael Vallat

Fixed for two-way interaction where one factor has only two values in e734df524be74504b6c66bb8dab41001bdb96573

In two-way repeated measures where each within factors have more than two levels, I think the regression approach is the only way. Need to create the design matrix using Patsy.

Hi @eremingt, This function, including the documentation, is a mere duplicate of the ICC function in the R [psych](https://cran.r-project.org/web/packages/psych/psych.pdf) package: > ICC1 is sensitive to differences in means between raters...

Pingouin forces the x-axis and y-axis to have the same units and the same limits. In your example, because there is an outlier point (y=3.5, x=2), it forces the x-axis...

Hi @MashRoofa, The output is expected. The sphericity and Greenhouse-Geisser correction are only calculated for the within-subject factor (`VIS_TYPE`). It is thus expected that Pingouin returns NaN for the between-subject...

You're not wrong — unfortunately the GG correction for the interaction is not implemented in Pingouin at this stage. I would therefore recommend sticking to SPSS or JASP for a...

I don't know any Python implementation. I'd like to implement it but my time is very short right now and I don't anticipate it'll get better in the next months....

Hi @alabamagan, Thanks for opening the issue. I do not have SPSS, do you know of any other implementations (R, Python, Matlab, JASP), that we could compare our results to?...

This should apply to: - Mixed design (between-subject contrast + interaction) - 2-way factorial design (main effects + interaction) - 2-way repeated measures design (interaction only)

Hi @Federico2111, It does not! Thanks, Raphael