vandenman
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Hi Nick, This should be fixed in 0.17.1! Cheers, Don

Hi Saskia, My apologies for the late reply. Currently, it's not possible to do this in JASP. If you'd like to see this in a future version of JASP please open an issue at https://github.com/jaspstats/jaspissues/ (see also https://jaspstats.org/f…

Dear Bahareh, Would it be possible to share the jasp file that lead to these results? Without it, I'm afraid it will be difficult to figure out why the Bayes factors are so similar. You can upload it on this forum (where is it publicly available) o…

Hi Zongzhen, By default, JASP uses listwise deletion in linear regression. Pairwise deletion is not yet supported. Cheers, Don

Dear djk1997, This is unfortunately not possible at the moment. It is on our radar, and as soon as the backend allows for it I will implement it. Best, Don

Hi Martin, That's a good question. Unfortunately, there is no immediate "correct" answer, but rather there are two trains of thought. Originally inclusion probabilities (and thus inclusion Bayes factors) were computed by considering all m…

Hi Leigh, This appears to be the mean value for the dependent variable. Is this a result of centering? That is correct. How does one calculate (if you can) the intercept for the output model in an analogous fashion to simple frequentist multiple lin…

It's the same as in SPSS. See https://en.wikipedia.org/wiki/Kurtosis#Standard_unbiased_estimator for the computation, and https://github.com/jaspstats/jaspDescriptives/blob/9da9bbfe8da95dbe70b3c3cfe5340e0369cc966d/R/descriptives.R#L1509L1525 for t…

Hi Emilie, the issue is caused because Jasp considers all models and by default also all possible interactions among the variables. This simply blows up the model space to the extent where the Jasp output presenter crashes. In your case, it's tryi…

Hi Emilie, There shouldn't be any limit to the number of factors. Would it be possible to share the jasp file so I can take a look at what goes wrong? If yes, you can email it to me confidentially at d.vandenbergh<at>jaspstats.org. Cheers, …

Hi Corey, Happy to hear someone read the preprint 😊 That is correct, you need to use lmBF which only fits one model at a time (anovaBF does the wrong thing, or well, the wrong thing in this scenario). Let's look at an example in the jasp data libr…

Dear Xiao, My apologies for taking so long to reply. I've taken a look at the data and it appears that the same is happening as in another post (see https://forum.cogsci.nl/discussion/4855/strangebehaviorwithbayesianrmanova). With JASP <= …

Dear Xiaohupsy, Thanks for posting this! Together with @frederikaust and @EJ I'm working on a project where we try to resolve some discrepancies between the frequentist and Bayesian repeatedmeasures ANOVA. Would it be possible to share your data wi…

Adalasso was removed because its dependency parcor was removed from CRAN (see https://cran.rproject.org/package=parcor). Edit: the same was done in the bootnet package, on which the network module is build (see e.g., this comment)

Hi Gene, Thanks for reporting this and thanks for adding a helpful example! When you copy a table, the idea is that you can directly copy it to a manuscript. As such, the copying preserves the exact formatting as done in the table. So when you see …

Hi l_s, There is a subtle difference in the model specification of the frequentist RM ANOVA and the Bayesian one. The frequentist ANOVA does estimate random slopes and takes these into account. The Bayesian ANOVA does not. This is, unfortunately, t…

Hi, As EJ said, the most elegant solution would be to use R code. For example, the following code ID %in% c(23, 9, 837) # a commaseparated list of ids would do what you want. If you prefer a custom drag and drop element, please open a feature req…

Hi @DrPRW , It is possible to do ridge (and lasso) regression in JASP, but only within the machine learning module. As a consequence, the results are focused on prediction and not so much on statistical inference. https://forum.cogsci.nl/uploads/23…

Hi Narcilili, I'm assuming that you have a single linear regression model (no modelaveraging). is the predicted weight loss of 3.806 the mean of a normal distribution of predicted values for this flour beetle? If it is, then how is the 95% credibl…

Hi bertheat, Unfortunately, I don't think it is possible to do this with the drag and drop interface right now. A workaround is to use R code, like so: dataVar < contNormal # change this into LR Average groupVar < facFive # change this …

I'm getting this figure: https://forum.cogsci.nl/uploads/796/BGDKOLWJCXD4.png did you rescale the data by 1000? The error bar are really to small to be the standard deviation (I did it on excel too..). The error bars are not standard deviations, b…

Indeed, there is not.

Hi Ferrari, Would it be possible to share the jasp file that created the descriptives plot? Without the, I'm afraid we're just shooting in the dark. Cheers, Don

Hi @sherloconan, The value for `iterations` includes the warmup and is used for the function posterior. The number of iterations for anovaBF/ lmBF is determined by the value for `Numerical accuracy`. Cheers, Don

@max_gold , The only available effect size measure for the Bayesian ANOVAs is R^2. This is computed for each model and you can obtain a modelaveraged R^2. The frequentist ANOVAs provide η^2 and several other effect size measures for which we do not…

I'm not 100% sure I understand why the "bayesian ANCOVA does not appear to work", a JASP file (or R script) would be very helpful for me to fully understand what you're trying to do. Nevertheless, concerning Specifically why categorical va…

Hi Carlos_psycho, I can't seem to replicate the problem. For example, when I run a CFA the Parameter estimates table displays all factor loadings for me (Ubuntu 20.04, JASP 0.14.3): https://forum.cogsci.nl/uploads/469/U59G8PTVDBWW.png Could you po…

Hi! The latest version of JASP (0.14.1) does allow qnorm, so if you upgrade this error message should disappear. Hope that helps! Don

Hi Tali, I do get normal output (e.g., see the screenshot below): https://forum.cogsci.nl/uploads/499/4ENY0H6PL761.png if this is not the case for you, then please file a bug report at https://github.com/jaspstats/jaspissues/issues/new/choose. C…

Hi Manhervart, > I somehow thought that because of the unsupervised nature of Kmeans clustering I'm not allowed to use labels. In general, that's true. A tSNE plot is a highdimensional projection of all the variables to make the results some…