EJ
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 EJ
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Maybe it is a good idea to go over some of the examples in papers such as this one here: van den Bergh, D., van Doorn, J., Marsman, M., Draws, T., van Kesteren, E.J., Derks, K., Dablander, F., Gronau, Q. F., Kucharsky, S., Komarlu Narendra Gupta, A…

Dear Raquel, Just to get this straight (because it is a little unusual): you have one continuous variable (say income) and you use this to predict two categorical variables (say gender scored as male, female; and haircolor, scored as black, brown, b…

Hi Anton, What test are we looking at? If you seek a pvalue for something nonnormal, there are options: Use the nonparametric bootstrap Use rankbased methods Apply transformations. Cheers, E.J.

No neural networks yet in the ML module, I think. If you have suggestions on what R packages to include, and what functionality to support, that would be welcome! You can make feature suggestions on our GitHub page. Here is the list of ML methods we…

:) thanks, I was about to ask our experts E.J.

No worries, good to hear

Hi Nickytran1, That's unfortunate, and we'll try and work out what is amiss. For technical issues such as this, please contact the programming team on our GitHub page  you will get instructions on what to report exactly, and the right team member …

Hmm that is not good. For technical issues such as this, please contact the programming team on our GitHub page  you will get instructions on what to report exactly, and the right team member can be assigned to your issue. For details see https://…

Hi Narcilili, "I wonder if Bayesian linear regression cannot be used if the predictors are categorical." Yes, this is correct. Currently the prior structure is set up so that the results are invariant under changes of the measurement scale…

Hi Liesbeth I'll forward this to our team. If you want fast help on such issues in the future, your best bet is to post the issue on our GitHub page, because then you can contact the programmers directly, and you'll get guidance on what you need to …

You could call the groups 1, 2, and 3 and pretend you're OK (this will violate assumptions, but when you are wiling to add VA and VB as predictors this should not worry you perhaps)

Quick response: my first thought it to include both weight and group as predictors, and then add the interaction (which is of interest) Cheers, E.J.

Hi Liesbeth This has been revamped. We hope to present a much improved version shortly. Cheers, E.J.

It's difficult for me without the substantive background knowledge, but I am not sure this is an issue. You basically have 500+ effect sizes delta_i, and we assume that delta_i ~ N(mu,sigma). I guess in the usual setup each test is for an experiment…

This issue is continued on GitHub. E.J.

Hi Chris, I would think that, within each group of compounds (which I assume is defined up front), you'd have a hierarchical model, with a mean effect and heterogeneity. In other words, you could do a Bayesian metaanalysis. E.J.

Simon Kucharsky email me: "The bars in QQ plots are present only for Bayesian ANOVAs, and correspond to xy% credible intervals. More info is in the Don's paper: https://www.cairn.info/journallanneepsychologique20201page73.htm#. The class…

Johnny is on vacation but I asked another team member for input... E.J.

Hi Michael, Yes we made some progress (e.g., https://www.bayesianspectacles.org/preprintdefaultbayesfactorsfortestingtheinequalityofseveralpopulationvariances/), but this has not yet resulted in changes to JASP, unfortunately. I do think …

Hi Michael, It is always somewhat of a judgment call I don't find the change from RT to ln(RT) particularly striking I was unable to get the error bars from JASP  they do not show up for me in the Descriptives, nor in the Distribution module. Can …

Correct. But see also https://forum.cogsci.nl/discussion/6354/studentandwilcoxonsrbayesiantestsinjasponesampleabug#latest !! We will have addressed this in the next version. Cheers, E.J.

Yes, just change the lavaan code! Cheers, E.J.

Top of output “Results”, downwards arrow, “Refresh all” On mac: CMDY On windows: CtrlY E.J.

Yes, that's one way to go. A hardcore Bayesian might want to apply all models at once instead of following a twostep strategy, but in many cases you'd arrive at the same conclusion. In general, the qualitative interpretations ("there is an ef…

Hi akiraaoki, Currently you cannot export them in one pdf file. We are working on a graph editor but in the meantime this could be a useful hack: https://jaspstats.org/2020/07/28/ahackforeditingjaspgraphs/ E.J.

Hi Gabriel, Yes, the Bayesian ANOVA is a mixed model but we didn't accommodate the long format nor did we add all the bells and whistles at the time. About the nonnormality: I guess there are the BoxCox transformations, have you considered these? …

Hi Whirly123, My guess is that these priors are possibly too wide (usually, testing priors need to be more constrained than estimation priors). One way to judge whether or not the predictions are too spread out is to generate them from the prior (An…

Well, if you want numbers like 3.2e10 as a full number, you get .00000000032  this is not readable, and will wreak havoc on any table. For the pvalue we do offer a setting (in preferences) to go with a specific number of decimals, and round to p…