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EJ

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EJ
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  • Thanks. Yes but I think a lot of people will cite papers instead of software, especially since we have papers about the software :-)
    in JASP 0.17 Comment by EJ July 2022
  • Hi Joshua, From your description it seems you want to conduct a *paired* samples t-test (each species is tallied in two areas, and I suppose you want to test whether the one area has more bees than another area?). So then you simply select the paire…
  • Hi Peter, We'll have JASP 1.0 once the data-editing and R syntax are included -- we are working hard on both projects. Wrt the seriousness, I guess the question is motivated by the fact that JASP is so user-friendly :-) Anyway, yes, JASP is very ser…
    in JASP 0.17 Comment by EJ July 2022
  • Hi Per, We're aiming for another release with new functionality end of September, with the 0.17 hopefully soon after. Cheers, E.J.
    in JASP 0.17 Comment by EJ July 2022
  • You can check out the release notes or the associated blog posts: https://jasp-stats.org/2022/04/19/introducing-jasp-0-16-2-performance-improvements-apple-silicon-and-bug-fixes/ and https://jasp-stats.org/2022/06/16/introducing-jasp-0-16-3-quality-c…
    in JASP 0.16.3.0 Comment by EJ June 2022
  • Dear Vasileia, The ANOVA is usually robust to violations of normality. Specifically, this paper (https://link.springer.com/article/10.3758/s13428-017-0918-2) suggests that when the min vs max variance ratio < 1.5, the results should be robust. Of…
    in Data analysis Comment by EJ June 2022
  • Hi bdgp9636, With "proper" do you mean "robust"? And did you have a specific procedure in mind? Are you doing the classical meta-analysis or the Bayesian meta-analysis? Cheers, E.J.
  • I think this would be a good feature request! Cheers, E.J.
  • Hi Stanislaw, I'll ask around. If it crashes R, it will crash JASP. But I am not sure whether it will work in R but not in JASP... Cheers, E.J.
    in Big data set Comment by EJ June 2022
  • Hi Michael, Thanks for this interesting question. My two cents: Yes your summary is adequate. Note that the problems originate because the models are misspecified. In general, when the models are badly misspecified, all sorts of statistical havoc ma…
  • When you do any inference on time series data, it is important to take into account the autocorrelation. With high autocorrelation you effectively have much less than N independent observations. Currently we don't really offer tests for autocorrelat…
    in lstm Comment by EJ June 2022
  • Yes, but Koen, isn't it worrying that the results would differ a lot depending on the seed?
    in Machine learning Comment by EJ June 2022
  • How different are the results? Most of ML is based on resampling algorithms so results are expected to differ -- but if they differ by a lot than this would be surprising to me. E.J.
    in Machine learning Comment by EJ June 2022
  • So you want to divide by N instead of N-1, is that what you mean? If I'm not mistaken you can take the SD from JASP, multiply by [sqrt(1/N) / sqrt(1/(N-1))] and you should get the result you want. I did this very quickly though, so best to check! A…
  • The method for correction can be the same as that applied for post-hoc tests in ANOVA. See the thesis by Tim de Jong for details: https://psyarxiv.com/s56mk Cheers, E.J.
  • Hi Ana, I'm sure you can put everything in a single model, but I'd keep things simple and conduct two separate analyses. Cheers, E.J.
  • We'll soon (this week, hopefully) preprint a paper in which we outline a problem with the currently standard way of specifying RM models in BayesFactor.
  • Hi Marthapapa, I'm afraid that I have never used circular statistics myself. I think I can only advise you to talk with an expert for this particular analysis (it was a contributed module, so the other JASP team members are not experts either I thin…
  • Hi Marijn, This is not yet possible. Well, I guess with some categorical variables it would be an ANCOVA... Cheers, E.J.
  • Yes, so Richard confirms that it would just be an unbalanced design in that case, which the Bayesian model handles.
  • The BayesFactor models are in fact linear mixed models. Let me get confirmation from Richard, also on the missing data aspect.
  • Hi ARF, If you have many missing data you might want to look into missing data imputation. This is something that we still have to do in JASP, but R has several packages for this. I vaguely recall that data missing at random are not a problem for ou…
  • Your current first sentence may make a naive reader believe that the group-only model ia clearly the best, whereas the data support that model only weakly over the null model. E.J.
  • ""Using a Bayesian RM ANOVA, the Bayes factor indicates that the data is best represented by the model that just included the group. " Yes but the evidence is really weak. E.J.
  • Dear Nuno, Largely fine; two remarks: " (prior probabilities of each model were equal to 0.5)" -- the BF does not depend on prior probabilities. "Additionally, post-hoc group comparisons exposed posterior odds of 20788.04, indicating …
  • Dear Akypar, I'll attend our expert to this. In general, predictive performance is always less impressive than goodness-of-fit (a Danish proverb goes "prediction is difficult, especially about the future" :-)). E.J.
    in Random Forest Comment by EJ May 2022
  • Hi Chloe, I'll pass this on to our SEM expert but they will probably need some more detailed information... Cheers, E.J.
  • Dear lalladem, From the information you provide this seems reasonable. Of course there are many tests presented here, and this does mean you have a multiple comparisons problem (see https://link.springer.com/article/10.3758/s13423-015-0913-5); I did…
  • Hello Max, This code is from the BayesFactor package (I see we still have to produce a help file, but it does list the package). The key paper is by Gunel ands Dickey (also listed in the help file), and a modern version is here: https://link.springe…