5.9 Wrap-Up

Important tools and techniques covered this chapter:

• Using the pacman package as well as base R to install and load packages
• Downloading this book’s GitHub repo to your local sytem with usethis::use_course()
• Using functions such as str(), head(), tail(), summary(), Hmisc::describe(), psych::describe(), and skimr::skim() to explore a data set
• Getting a basic idea of the dplyr package’s power and intuitive syntax for wrangling a data frame, including filter(), select(), and arrange()
• Seeing how base R’s bracket notation accomplishes some of those same tasks

Next up: We’ll get started with data visualization in R.