Take a moderndive into introductory linear regression with R

Abstract

We present the moderndive R package of datasets and functions for tidyverse-friendly introductory linear regression (Wickham, Averick, et al., 2019). These tools leverage the well-developed tidyverse and broom packages to facilitate 1) working with regression tables that include confidence intervals, 2) accessing regression outputs on an observation level (e.g. fitted/predicted values and residuals), 3) inspecting scalar summaries of regression fit (e.g. R, R adj , and mean squared error), and 4) visualizing parallel slopes regression models using ggplot2-like syntax (Robinson & Hayes, 2019; Wickham, Chang, et al., 2019). This R package is designed to supplement the book “Statistical Inference via Data Science: A ModernDive into R and the Tidyverse” (Ismay & Kim, 2019). Note that the book is also available online at https://moderndive.com and is referred to as “ModernDive” for short.