jamovi

Greetings all. Does anyone know what formula/rule jamovi uses for computing the lengths of the whiskers, in box plots?

Feature request: In descriptives, allow the option to plot the mean and 95% CI (instead of a box plot) along with the violin (data density) and jittered data elements.

I'm interested to find a way to edit jamovi plots. I'm not a proficient R user, but I'm wondering if it would be worth my while to try to get ggedit https://www.r-statistics.com/2016/11/ggedit-interactive-ggplot-aesthetic-and-theme-editor/ to work on jamovi plots that have been created by running th...

For the "counts" input variable for Chi Square contingency, in what order should the counts be entered? (I was not able to find pertinent info on the jamovi sites.) For example, if I have . . . A B 4 9 X 2 3 Y and if I want to do the contingency analyses on the counts, should the counts co...

Feature request: Let the user see exact p values (and not just p < .001). This would be useful since p values are sometimes used for purposes other than just reporting a result in APA style.

A small thing: For the repeated measures ANOVA, there should be a way to specify a little for the y axis, so it does not remain untitled.

A handy feature (which SPSS has) would be to let the user split the data set by some variable, so that each jamovi analysis would automatically be repeated for each level of the split-by variable.

On a related note: I'm not aware of how a Tukey's, single error term, could be employed for a within-subject factorial, or for a mixed factorial ( I'm pretty sure that why SPSS won't do Tukey post-hoc tests in such circumstances). How do we find out what formulas jamovi uses?

FYI: I notice that jamovi can already do post-hoc comparison of each cell mean to every other cell mean in a within-subject, between-subject, or mixed design. Does the current request for advanced contrast options go beyond that?

A suggestion for a new feature: For t tests, allow the user to specify the two levels of the independent variable (IV) to be used in the test, rather than require that the data file include only two levels of that IV.