Summarizing Models with Broom in R
Автор: Grace Tompkins, PhD
Загружено: 2025-10-04
Просмотров: 96
In this video, we discuss how to fit models in R and summarize them using the Broom package. We do not go into details of model fitting, but show an example using a simple linear model. We also motivate why linear models may not always be appropriate, and fit a second degree polynomial.
Lecture notes: https://ubc-stat.github.io/STAT545.gi...
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Time stamps:
0:00 - Intro
0:59 - Loading in Packages
1:27 - mtcars Dataset
1:47 - ggplot geom_smooth()
3:06 - Fitting a Linear Model with lm()
5:03 - Broom's tidy() function (summary)
5:49 - Broom's augment() function (prediction)
7:32 - Broom's glance() function (summary)
8:30 - Base R's summary() function
9:48 - Base R's predict() function
10:35 - Fitting Higher Order Polynomials
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