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Understand your models with #TidyTuesday inequality in student debt | Julia Silge #70

Open utterances-bot opened 2 years ago

utterances-bot commented 2 years ago

Understand your models with #TidyTuesday inequality in student debt | Julia Silge

A data science blog

https://juliasilge.com/blog/student-debt/

conlelevn commented 2 years ago

Hi Julia, I think augment() function is quite similar to predict() function, isn't it? Beside, when im gonna use interaction model, i will recheck it with non-interaction model by perform anova test at the end, can we do it in a "tidymodel" way?

juliasilge commented 2 years ago

@conlelevn You can read more about augment() here in our docs. To compare a model with and without an interaction, you may want to use resampling, or you can tidy() an ANOVA object.