jamovi

Thanks. a. I can do that but in general some people may not want to show it in the curve. b. I am mainly doing it to compare 3 or 4 different methods (which generate different xs) as opposed to different number of xs (which might require stepwise analysis as you suggest. So imagine for the iris case...

I just tried it (had to redownload jamovi) and seems to work very well. Thank you for adding this so quickly. Some followup qs/comments- a. The text legends like model, auc overlap on the curve. Maybe it should be printed as text instead of on the image b. I tried to predict y based on N xs. The mul...

This is great. I will give it a spin and let you know. Thanks much !

Thanks Seol. I have but I am trying to use the results from jamovi's logistic regression and not able to get the data out to plot. We coded it in R.

Hi, Is there a way to generate multiple ROC curves on the same plot in the logistic regression module? For e.g. I have two different methods generating volume predictors for Alzheimer's disease and want to characterize each method using AUC for AD prediction as a metric. I can generate an ROC for ea...

Maurizio, I had a q re your formula. The original paper says M - 3 or 2.5* MAD and M + 3 or 2.5*MAD as the cutoffs. For MAD, they have an additional multiplier b which is 1.4826 i.e. MAD = b* MED(ABS( var - MED(var))) where b = 1.4826. Is there a reason why you omitted b in your formula? I noticed s...