Learning goals

In this homework assignment you will…

• destroy create art
• teach yourself to use an R package

Getting started

• You can find the repo for this assignment here: https://classroom.github.com/a/GwNyScMv.

• Clone the repo and start a new project in RStudio.

Exercise 1:

Here we revisit the iris dataset from base R and plot petal length vs sepal length colored by species of iris flower.

iris %>%
  ggplot(aes(x = Sepal.Length, y = Petal.Length, color = Species)) + 
  geom_point()

• Make this plot as ugly as possible. Change colors, axes, fonts, theme, or anything else you can think of. You can also search online for other themes, fonts, etc. that you want to tweak. Try to make it as ugly as possible, the sky is the limit!

Exercise 2:

• Pick a package. You can choose one from the list below, or venture into the great unknown and find another online. If you have trouble getting a package to work, ask for help on slack.

• Install the package. Be sure to do this in the Console, not in your R Markdown document because you do not want to keep re-installing every time you knit the document.

Depending on where the package comes from, how you install the package differs:

- If the package is on CRAN (Comprehensive R Archive Network), you can install it with `install.packages`.
- If the package is only on Github (most likely because it is still under development), you need to use the `install_github` function, click [here](https://www.rdocumentation.org/packages/devtools/versions/1.13.6/topics/install_github) for more details.

• Load the package. Regardless of how you installed the package you can load it with the library function.

• Do something with the package. Typically, simpler is better. The goal is for you to read and understand the package documentation to carry out a simple task.

• Finally, write a short 3-4 sentence statement (at the beginning of your solution to this exercise) and include:

  1. The name of the package you use and whether it is from CRAN or GitHub
  2. A short description of what the package does (in your own words)
  3. A short description of what you do with the package.

Sample list of packages on CRAN:

Submission

Knit to PDF to create a PDF document. Stage and commit all remaining changes, and push your work to GitHub. Make sure all files are updated on your GitHub repo.

Only upload your PDF document to Gradescope. Before you submit the uploaded document, link each answer to the appropriate page(s). If any answer spans multiple pages, then mark all pages. Associate the “Overall” section with the first page.

Grading (50 points)

• Workflow and formatting
• This includes having at least three meaningful commits, a neatly formatted PDF document with readable headers, updating the name and date, using the tidyverse syntax, and naming all code chunks.