jamovi

Hi Enrique, Thank you for bringing this to our attention! I've looked into it, and you are absolutely right about it being the 95% confidence interval instead of the SE. We were mislead by the naming of the variable in ggplot2 (as jonathon mentioned). We will make changes to the option name so that ...

Hi! Just want to add my two cents. I've looked at the JASP plot builder and I think that using the actual ggplot2 syntax is a lot more user friendly than using this UI layer. The thing is that just copying the functionality of an R package 1-to-1 is not very hard, you just map each R option to a UI ...

Hi!

I think we can add this option to the RM ANOVA. Could you make an issue on github (this is where we keep track of feature requests): https://github.com/jamovi/jamovi/issues.

Cheers,
Ravi

Hi! I did a little digging and found the commit where this change was implemented (4 years ago!): https://github.com/jamovi/jmv/commit/a9c8cb032af2bfd169065d25b75033c60e5b2fd2. So instead of using a univariate model to calculate the emmeans, a multivariate model is used. This change was implemented ...

So I looked into the calculation of the cohen's d in the paired t-test and I think it's being calculated correctly at the moment. If you look at https://github.com/jamovi/jmv/blob/aa1f56e6a9ec06a9d5d92bbed08cb956463250c1/R/ttestps.b.R#L16-L17 and https://github.com/jamovi/jmv/blob/aa1f56e6a9ec06a9d5...

Hi Oliver, The correlation matrix plots use the GGally R package in the background. To create the scatter plot with regression line the ggally_smooth function (see https://ggobi.github.io/ggally/reference/ggally_smooth.html ) is used. Here you can see that the interval around the regression line rep...

Hi everybody, So first let me reply to the following: That's one way to look at it. But the way I see it, the only correct way to reverse-code is to base it on the theoretical, not the actual range of the data. For example, for -2 to 2 scale [Strongly Disagree, Disagree, Neutral, Agree, Strongly Agr...

Thank you for bringing this bug to our attention! I found where the problem was and fixed it in this Pull Request: https://github.com/jamovi/jmv/pull/427.

It's strange that it previously didn't happen with the same file, as the library that we're using to make these plots (ggrides) hasn't changed in over a year. I looked into the issue and it indeed has to do with groups having 2 or fewer data points. However, I looked into the issue and it seems that...

Hi! I found the issue: it’s due to how each analysis handles missing values. The correlation matrix uses pairwise deletion, while the reliability analysis applies listwise deletion. Since your dataset has a lot of missing data, listwise deletion removes far more cases than pairwise deletion. When I ...