Coding workshop: Week 7

1. Summary

Packages

• tidyverse
  
• here
  
• ggeffects
  
• flextable

Operations

New functions

• organize file paths using here()
  
• look at data using str(), glimpse(), and class()
  
• construct a linear model using lm()
  
• visualize model predictions using ggpredict()
  
• saving image using ggsave()
  
• calculating correlation using cor.test()
  
• plot model diagnostics using plot()
  
• plot model 95% CI using geom_ribbon()
  
• plot model predictions using geom_line()

Review

• read in data using read_csv()
  
• visualize data using ggplot()
  
• create scatterplot using geom_point()

Data sources

The data set is a mock data set generated by me! The code to generate the data is here.

2. Code

All code is in this repository.

All GitHub/Git steps are in this guide. Videos to accompany this guide are on Canvas.