jamovi

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 ...

So the problem was that we were passing on data objects in an inefficient way. I made an improvement to the library that should fix your issue (See https://github.com/jamovi/jmv/pull/412). Jonathon will push out an update for jamovi in the next couple of days.

Thank you for reporting this issue!