You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Describe the solution you'd like
A clear and concise description of what you want to happen.
It's great that ggbetweenstats includes an effect size, but practically speaking, the effect size for K-W/ANOVA is often not very useful insofar as it's hard to interpret. It says that there's a difference between at least one group and the other groups. An effect size for the pairwise comparisons is much more interpretable since it's a single group comparison to a single group. For K-W, I'm using Dunn's test for the pairwise and then Vargha and Delaney's A for the effect size. I think it would be a good feature to include as an option because it means basically all of the important information about the chart is in the graphic itself.
How could we do it?
A description of actual ways of implementing a feature.
S. Magnifiaco has put together a straightforward implementation for Vargha & Delaney's A as multiVDA in rcompanion. I'm using that to generate the figures and then putting it into the caption together with paste and a few variables. My current implementation is very kludgey but should give you a sense of what I mean.
The text was updated successfully, but these errors were encountered:
Describe the solution you'd like
A clear and concise description of what you want to happen.
It's great that ggbetweenstats includes an effect size, but practically speaking, the effect size for K-W/ANOVA is often not very useful insofar as it's hard to interpret. It says that there's a difference between at least one group and the other groups. An effect size for the pairwise comparisons is much more interpretable since it's a single group comparison to a single group. For K-W, I'm using Dunn's test for the pairwise and then Vargha and Delaney's A for the effect size. I think it would be a good feature to include as an option because it means basically all of the important information about the chart is in the graphic itself.
How could we do it?
A description of actual ways of implementing a feature.
S. Magnifiaco has put together a straightforward implementation for Vargha & Delaney's A as multiVDA in rcompanion. I'm using that to generate the figures and then putting it into the caption together with paste and a few variables. My current implementation is very kludgey but should give you a sense of what I mean.
The text was updated successfully, but these errors were encountered: