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SLU DSS Spring 2020, Statistics in R: Session #3, Models for Categorical Predictors

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statistics-3

These are materials for SLU DSS Spring 2020, Statistics in R (Session #3, Modeling Categorical Predictors)

Lesson Quick Start

Install Packages

The packages we'll need for today can be installed using:

install.packages(c("tidyverse", "gapminder", "broom", "knitr", "rmarkdown",
  "usethis", "kableExtra", "emmeans"))

If you've already installed the packages from Session 2, the ggeffects package is the only new one:

install.packages("emmeans")

Access Lesson

You can download this lesson to your Desktop easily using usethis:

usethis::use_course("https://github.com/slu-dss/statistics-3/archive/master.zip")

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SLU DSS Spring 2020, Statistics in R: Session #3, Models for Categorical Predictors

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