Dr Mircea Zloteanu ❄️☃️🎄Feb 18, 2025

#statstab #282 Plotting ordinal logistic predicted effects on latent scale of ordinal outcome {ggeffects}

Thoughts: An interesting discussion on plotting ordinal data on the latent scale or probability scale.

#dataviz #ggeffects #ordinal #latent #likert

https://github.com/strengejacke/ggeffects/issues/507

Plotting ordinal logistic predicted effects on latent scale of ordinal outcome? · Issue #507 · strengejacke/ggeffects

When estimating an ordinal logistic the output conventionally appears as something like: However, a more interpretable output could be to have the ordinal logistic predictions generated on the late...

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Daniel 🕹️Dec 1, 2024
I know it's shameless self-promotion (forgive me), but the examples of `conditional_values()` can also be used to demonstrate the intuitive user interface from {ggeffects}, also using the okabe-ito palette. See following code (in Alt-text), and plot results in the 2nd post... #ggeffects #rstats

RE: https://bsky.app/profile/did:plc:vyspvwpd2wp4rt3sg3guwefm/post/3lc5tv6nmec2h
Show threadDanielFeb 24, 2023
The function has a simple API and should be as intuitive as `ggpredict()` and friends. It can be used for many common use cases of calculating contrasts and pairwise comparisons. A detailed vignetted is here: https://strengejacke.github.io/ggeffects/articles/introduction_comparisons.html ...there still might be the need for more sophisticated comparisons. In this case, I recommend using the marginaleffects package directly. Some further related recommended reading is, e.g. the vignettes about "Comparisons"(https://vincentarelbundock.github.io/marginaleffects/articles/comparisons.html) #rstats #ggeffects
Slopes, Contrasts and Pairwise Comparisons

ggeffects