Project Checkpoint 8

This week, your goal is to create a minimal working package, that we will build on in the remainder of the course until you have a fully fleshed out data analysis package!

The first thing you’ll need is a name for your package. Get creative with this! There are a few common package styles:

• “old school” R tradition is to use a capital R in the package, e.g. RMySQL

• In the early tidyverse days, packages were all lowercase and ended in an r, such as dplyr or tidyr.

• More recently, folks often go for one-word puns that describe the package purpose, like lubridate or forcats.

You can do whatever you’d like with this - as long as the package has no special characters, does not start with a number, and relates in some way to the actual functionality or data context of the package.

Once you have a name,

1. follow the steps from the Week 8 Practice Activity to produce a package directory and publish it on GitHub.

2. Update the DESCRIPTION file.

3. Write a function called load_data to load your original dataset into the package from the Tidy Tuesday link or using the tidytuesdayR package.

4. Write two functions for analyzing, visualizing, or summarizing your data.

The three functions in this starter package must use roxygen2 documentation; however, you do not have to write any testthat tests at this stage.