vandenman
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Hi Johan, Sorry for the tardy reply, I looked into what was going on here, but promptly forgot to leave a message. The CIs in the plots account for differences in within and between factors. The descriptives table, however, does not take this into …

This should be fixed in the upcoming release, a pull request was just merged that corrected this bug.

Hi Mircea, That indeed looks like a bug, thanks for bringing it to our attention! I will keep you posted when it is resolved. Don

Hi Berenike, You can do this with a computed column and the ifElse function. https://forum.cogsci.nl/uploads/603/X31PP1I2OWPL.png Note that for the condition (the first argument to ifElse), you must first drag the comparison operator (for example, …

Hi Per, No worries! The key is to realize that the two statements are nested, so it is actually one statement like so: ifElse(facFive <= 2, 1, ifElse(facFive <= 3, 2, 3)) We can also see this as a decision tree, like below: https://forum.cogs…

Hi, As far as I know, it's only possible to use LaTeX in annotations, e.g., here: https://forum.cogsci.nl/uploads/402/ZEAHP4JIG52V.png you could try subscripts that are supported by Unicode (see https://en.wikipedia.org/wiki/Unicode_subscripts_and…

Hi, The mode is currently computed as if all variables are continuous. This is a mistake and will be fixed in the next version of JASP, where it will be computed differently for ordinal and nominal data. Cheers, Don

No worries, you can do it like so with the GUI: https://forum.cogsci.nl/uploads/254/N7FRO0B8YFOQ.png But if you ever have many more categories the nested ifelse statements might become a bit cumbersome. You can also write R code directly if you clic…

Hi! How about this? https://forum.cogsci.nl/uploads/166/JV7GLG8J02BU.png If "Other" always has the same capitalization then this should work. Otherwise, it's also possible to use nested `ifElse` statements, but that becomes a bit messy. Le…

We don't have the R package stringdist available so that unfortunately won't work. Nevertheless, I asked chatGPT and it suggested the following: levenshtein_distance < function(str1, str2) { len1 < nchar(str1) len2 < nchar(str2) # Cr…

The analysis has been renamed to "Neighborhoodbased" https://forum.cogsci.nl/uploads/459/DJ20296XRW0C.png Because it is now also possible to use either "Means", "Medians", or "Medioids" to cluster: https://fo…

Hi Rakesh, This is certainly a good idea, but at least right now, it is out of the scope of the module. However, for feature requests please create an issue on GitHub (see https://jaspstats.org/2018/03/29/requestfeaturereportbugjasp/). It is e…

Hi, I think something like the filter in the screenshot should do what you want: https://forum.cogsci.nl/uploads/966/BX62R1INP366.png If you prefer to do this with R code, you would type something like: (contNormal <= .5) & (facExperim == &q…

Hi Søren, This is not possible to do within JASP right now, but in R you could use the package BayesFactor and the use the posterior function to obtain samples. Afterward, you could use e.g., eta_squared_posterior to obtain an effect size measure…

It's not just "pseudo R" coding, it's just plain R code with some restrictions (for example, some functions are not allowed). We do make some custom functions available, like zscore transformations, but in principle, with the R option you…

Hi PerPalmgren, Unfortunately, it did not make it. It is now in the development version of jasp (so also in the nightlies) and it should also be in the next release. Best, Don

Could you share the jasp file or a screenshot? Also, which operating system are you using? Don

Hi Julia, The pairwise posthoc tests are simply independent ttests with a correction for multiple testing. So including or excluding a covariate does indeed not impact the results. As far as I know, we currently do not offer a way to include cova…

Hi PerPalmgren, Thanks for pointing this out. It looks like we used a different method to compute the VIF than the other programs. The results were the same when there are only continuous variables, but as soon as there are categorical predictors (…

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…