EJ
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- EJ
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We'll take a close look. Do you have any suggestions on how to structure the options so that it doesn't feel cluttered? I do believe that plotting is an essential tool. Is it only the plots that feel cluttered?
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I did not know Jamovi offered a Bayesian Kendall's tau?! I know that at some point they copied the Bayesian analyses from JASP, but Kendall's tau is a recent addition -- can you confirm? If Jamovi does have it, it should fail for the same reason tha…
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If you are really worried about this you could transform your data to normality and see whether it matters. E.J.
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Hello Heiko, We are working to include data editing and hope to release this functionality in 0.17. If you Google "JASP nightlies" you'll get to a page where you can download unofficial versions (no guarantees, some analyses may fail, and …
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The SEM module is based on lavaan syntax, which is quite general. So if you can do it in lavaan, you can do it in JASP!
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That is frustrating! It is more something for our GitHub page, but I'll attend our programming team to your post. E.J.
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You haven't loaded the data it seems. Cheers, E.J.
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Binary classification: Did you run the latest version? (it was recently added) Correlation: you need to enter a sample size (> 0) E.J.
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Hi Mani, Thanks for your question. Check out the Learn Bayes module and go to "Binary Classification"! Post: https://jasp-stats.org/2021/09/28/binary-classification/ Cheers, E.J.
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I would do the independent multinomial but "group" should be the fixed factor (yes/no is the dependent factor). It does look like the groups are very different. Currently there is no method implemented to enforce the order restriction; you…
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Absolutely. We haven't done it but it is perfectly possible. E.J.
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Can you see what the lavaan syntax is? Since everything here is based on lavaan, I'd look at their documentation (e.g., https://lavaan.ugent.be/tutorial/est.html) E.J.
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Bayesian contingency tables or log-linear models. You can also entertain pairwise comparisons using the Bayesian A/B test. Cheers, E.J.
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We use the lavaan package, and that syntax can just be pasted in the JASP window. So I would consult the lavaan documentation for details. Cheers, E.J.
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If you don't hear anything please feel free to contact him directly
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This is under development! It would be added in 0.17, possibly. E.J.
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Currently there is not, but it would be a good feature request for our GitHub page! E.J.
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As an temporary alternative to copy-pasting the figure, you could select "save as" and choose any format you like. Then in Word you select "insert image" and find the saved figure. Does that work? E.J.
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We don't have generic bootstrapping functions, but I am sure they are there for the functions that require them (for instance, the machine learning module offers many such procedures). If you have an example where the bootstrap has advantages but we…
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This is under development. If you post it as a feature request on our GitHub page (or give an existing request a thumbs-up) it will up the priority. Cheers, E.J.
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Hi NinaJk, I'm not sure bootstrapping will help with model misspecification or small sample sizes -- the bootstrap was meant to obtain an estimate of sampling variability in cases where no analytic solution is available (which includes cases where t…
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I've attended Richard to your question! Cheers, E.J.
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It should work more easily with the R code I think... Anyway, you can string together the exclusions using the AND (^) operator: "ID not-equal-to 23" ^ "ID not-equal-to 9" etc. E.J.
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If you execute a paired-samples t-test and request the associated raincloud plot you'll see the changes for each unit indicated in the plot. Or am I missing something? Cheers, E.J.
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I've forwarded this issue, you should hear something soon E.J.
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Hi JASPLearner, I would take the best model as a point of departure. Comparisons to the null model are rarely informative. Cheers, E.J.
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I've addressed this in a different thread: basically, the data do not provide evidence for the full model over and above the two-main effects model. You can see this better when you select "compare to best model" or add the main effects to…
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Hi Rik, In the current Bayesian implementation it is problematic to add Group as a covariate; it is a factor, not a covariate. You can feed it as a covariate to the Bayesian linear regression setup, but only because JASP does not realize that Group …
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Dear JASPLearner, I would say that the data offer evidence against including the interaction. You may want to tick "compare to best model", or add the main effects to the null model in order to focus on the evidence for adding the interact…
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Dear Ajestudillo, 1 & 2: yes 3: yes, (I assume you refer to the 4.009); note that you can add the main effects as nuisance factors to the null model (under the "model" tab) so you get the comparison between the two-main-effects model a…