jamovi

Hey @DorotheaJulia! Beyond the syntax error you encountered (the misplaced parenthesis), your logic of manually subtracting one or two values is difficult to maintain because it doesn't scale automatically when rows have different numbers of missing values. The Logic Error: By subtracting only one v...

Ciao Gianmarco , thank you for your authoritative contribution here. Regarding your new ChiSquaredTools module, I have forked your repository and in my release here: https://github.com/MAgojam/ChiSquaredTools/releases I have put the compiled .jmo file for Windows and for Linux for a sideload. If yo...

Hey @sbeber, There is no bug , but rather a difference in the common definitions used for the Phi coefficient. Summary: The Pearson correlation gives a signed result, while the Chi-squared formula used in contingency tables gives the absolute value (unsigned). 1. Your Manual Result (Phi = -.287): Si...

The screenshot I attached shows jamovi's built-in "Contingency Tables" analysis with the "Post Hoc Test (Pearson residuals)" option selected. The residual values in that table are clearly colour-coded - negative values appear in red (like -8.972 and -9.487) and positive values a...

Ciao Gianmarco, I greatly appreciate your decision to bring your chisquare package over as a dedicated jamovi module. I believe this module will garner significant interest once it is available in the library. I haven't been able to locate the module in your public repository; I would be keen to tak...

I thought about the robust ANOVA, I´m just not sure whether it is possible to include the repeated measurements factor in this module of jamovi. I have to apologize for stumbling over my own code, anticipating an upcoming Walrus update with robust ANCOVA and RMANOVA, but it's not yet available in t...

Hey Anni, just to give you some background: the BOXCOX() function you used in jamovi is actually implemented under the hood in Python (you can see the code here: https://github.com/jamovi/jamovi/blob/current-dev/server/jamovi/server/compute/functions.py#L305-L322 ). Knowing this can help to understa...

Hey @JavierMG, you can check it out here: https://github.com/jamovi/jmv/blob/master/R/ancova.b.R#L525 where we use it as @sbalci suggests. I've also put it here: https://github.com/jamovi/jmv/blob/master/R/anovanp.b.R#L52 So you can take a look at the code of the jmv analysis module elements. Cheers...

So I would like to ask about that log-linear model as an alternative to chi square post hoc test, what are the advantages/benefits of using this ? Hey @Andrzej, Looks like you jumped in the time machine and traveled back, so did you miss out on this detail in another comment of mine that might answ...

Hey @Andrzej_Andrew, Thank you for your follow-up and for sharing the video, it's a great point to clarify! Yes, the approach shown in the video, using adjusted residuals combined with a Bonferroni correction, is absolutely valid and widely used, especially in educational contexts or when you want t...