vandenman
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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
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Hi Andre, The nightlies are available here: https://static.jasp-stats.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://jasp-stats.org/20…
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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…
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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…
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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/jasp-stats/jasp-issues. See https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/ for some more inf…
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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…
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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…
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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…
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If I remember correctly, it's under Plots: https://forum.cogsci.nl/uploads/354/G3HDVT58TTOE.png
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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/jasp-stats/jasp-…
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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…
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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…
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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 jasp-stats.org. Cheers, Don
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Hi, Unfortunately, it's not possible to do that yet, but it's high on the priority list! Cheers, Don
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Hi Martin, is that the "non-frequentist" R2 (i.e., the R2 considering all the models, not just the point-estimate of the best model a la frequentist R2?) Yes. The Bayesian R-squared is derived from Gelman's unpublished manuscript. So R2 is…
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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
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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…
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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
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Unfortunately this is not trivial to implement. The relevant functions are .BANOVAsamplePosteriors (https://github.com/jasp-stats/jasp-desktop/blob/development/JASP-Engine/JASP/R/commonAnovaBayesian.R#L1506) and .BANOVAgetSMIResidRsq (https://gi…
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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…
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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…
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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…
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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…
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Hi Agata, The code for Bayesian linear regression can be found here: https://github.com/jasp-stats/jasp-desktop/blob/development/JASP-Engine/JASP/R/regressionlinearbayesian.R The specific call to the BAS package (BAS::bas.lm) is at line 491. Let me…
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Hi Camilla, From the output I cannot derive what went wrong. Could you perhaps send me the .jasp file at d.vandenbergh@jasp-stats.org? The data will be kept confidential of course. Best, Don
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Happy to hear the problem solved itself! In case anything is still unclear feel free to ask.
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Hi, at the moment there is no way to compute this in JASP. Intraclass correlations are on the todo list.
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At the moment, JASP does not support mixed nonparametric ANOVAs. It is possible to do a Kruskal-Wallis test but that only applies to one-way ANOVAs. Do keep in mind that for any ANOVA the residuals need to be normally distributed, not the dependent …
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The difference in the analysis is that JASP compares all models to the Null model that includes subject. To replicate the results in R you would have to include "subj" into the model as well. In your example, it wasn't included which you …
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Hi Mark, Thanks for your interest in JASP! What you're observing might be an effect of the prior which shrinks parameters to 0. If the sample is large (N = 100) the shrinkage will be minimal, but since your dataset consists of 13 observations t…