vandenman
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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 The Bayesian R-squared is derived from Gelman's unpublished manuscript.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…
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Hi Sophie, R-squared is calculated in the usual way and the results for any particular model are identical to the frequentist one (as illustrated by the screenshot). (Image) The posterior means of the parameters are used in the calculation of th…
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Hi Clair, This should be doable in SPSS or excel! To color the nodes you need a grouping variable with a specific format. For example: If you have 3 groups, and 9 variables (3 per group) your grouping variable would look like: "$Variable na…