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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…

Hi Lone, JASP checks if the weights are within [1, Inf) and otherwise it shows an error. This is actually, a mistake, the weights are fine as long as they are within (0, Inf). We'll make sure to fix this in the next release! Cheers, Don

Those means are the modelaveraged ones? If you selected `Model averaged` then, yes. Otherwise, it's whatever is selected in this drop down: https://forum.cogsci.nl/uploads/928/OQJIFBWAIT4H.png

Hi Emily, Just to make sure we're on the same page, the column "mean" of the posterior summary table shows standardized beta coefficients but you would like an option to see the unstandardized coefficients? Cheers, Don

Hi Andre, The nightlies are available here: https://static.jaspstats.org/Nightlies/ and the latest nightlies should allow you to use categorical variables as covariates. If you encounter any bugs, please let us know! (See https://jaspstats.org/20…

Hi dimitrib, Concerning, IIs there a way to save and applied the model to a new dataset? Or at least use it to make prediction on unclassified data added in me dataset? We're working on that. I hope that it will be in the next release, otherwise, i…

Previously we did allow factors to be added as predictors, but they were not analyzed as factors. That's indeed the reason why you can't add factors. In this case, the ordinal variable attract is analyzed as if it were a continuous variable. You can…

This is currently not possible. If you want to see this in a future version of JASP, please make a feature request at https://github.com/jaspstats/jaspissues. See https://jaspstats.org/2018/03/29/requestfeaturereportbugjasp/ for some more inf…

So the function in R that you're looking for is grepl(pattern, x) , which returns TRUE if an element of x contains the pattern (e.g., Camera). Unfortunately, this function is not in our whitelist so that won't work for now. In the meantime, you can…

If you go to "model" then you'll see that JASP adds all interactions effects between the fixed factors by default: https://forum.cogsci.nl/uploads/627/C1QJ7R62873I.png However, that might be a bit overdoing it for your situation. If you cl…

How many covariates & Fixed factors do you have? And are you using JASP 0.14.1? Something like this works for me without any problems in JASP 0.14.1: https://forum.cogsci.nl/uploads/504/D3OG3LMSYU5P.png Could you send me a screenshot of how man…

If I remember correctly, it's under Plots: https://forum.cogsci.nl/uploads/354/G3HDVT58TTOE.png

Could you perhaps share the code and/ or data you use so that we can replicate this discrepancy? In the simple example below, I get basically identical results in JASP and R. dd < read.csv("https://raw.githubusercontent.com/jaspstats/jasp…

There's not really a tutorial out there (yet), but here goes. 1) Open the observed values tab: https://forum.cogsci.nl/uploads/099/3OYY5HBSPDAH.png 2) Click on "Add Data": https://forum.cogsci.nl/uploads/201/ZHMZQT65CZPT.png 3) In the col…

Hi Francesca, By default JASP enumerates all possible models. In your case with 15 predictors there are 2^15 = 32768 models. That simply takes a very long time. We will look at ways we can improve the speed and feedback (e.g., in your scenario we sh…

Hi Liesbeth, Can you attach one of these jasp files either here or on GitHub? If you'd rather not post the data publicly, you can also email it to d.vandenbergh at jaspstats.org. Cheers, Don

Hi, Unfortunately, it's not possible to do that yet, but it's high on the priority list! Cheers, Don

Hi Martin, is that the "nonfrequentist" R2 (i.e., the R2 considering all the models, not just the pointestimate of the best model a la frequentist R2?) Yes. The Bayesian Rsquared is derived from Gelman's unpublished manuscript. So R2 is…

Hi, sorry for the late reply. Regularized linear regression does not allow for interaction effects at the moment. If you open a feature request at our GitHub page we'll assign it to the appropriate developer. Cheers, Don

Unfortunately, there is no way to compute the reliability for an item with zero variance. If you try this in R, you get the following: library(psych) df < data.frame(x = rnorm(10), y = rnorm(10), z = 1) var(df$z) # no variance [1] 0 alpha(df) S…

Hi Rohan, See GitHub for an example of how to get uncertainty on the level of the data (the code is too long for the forum) Cheers, Don

Unfortunately this is not trivial to implement. The relevant functions are .BANOVAsamplePosteriors (https://github.com/jaspstats/jaspdesktop/blob/development/JASPEngine/JASP/R/commonAnovaBayesian.R#L1506) and .BANOVAgetSMIResidRsq (https://gi…

Which analysis are you using? However I am very confused as when I attempt to use the machine learning in JASP I am not seeing what the coefficients would be for each of the predictors in the model or what the actual model looks like. Well some ana…

Hi Wim, If I understand your question correctly, you're wondering why the intercept, β0, is equal to the mean of the predictors, mean(y). By default, the predictors are standardized in BAS (the R package underlying Bayesian linear regression). Ther…

Hi MariaSz, It appears that the legend labels disappeared! Here a screenshot of a smaller example: http://forum.cogsci.nl/uploads/968/UGC2KYGHEMLL.png So the red line indicates the sample edge strength, the black line indicates the mean of the boot…

Hi scottyglasgow, http://forum.cogsci.nl/uploads/012/0UZCPZDADWRE.jasp http://forum.cogsci.nl/uploads/054/FI2EOQ4UXDCW.csv The interface for assigning nodes to groups is indeed a bit clunky... attached a jasp and .csv file with a minimal example. Le…

Hi Agata, The code for Bayesian linear regression can be found here: https://github.com/jaspstats/jaspdesktop/blob/development/JASPEngine/JASP/R/regressionlinearbayesian.R The specific call to the BAS package (BAS::bas.lm) is at line 491. Let me…