Exercises
Exercise 1
For this exercise we will use the tidyverse and palmerpenguins R packages. You can add any other packages as needed.
We will use the penguins data set in the palmerpenguins R package for this exercise. We will plot the flipper length versus the bill length.
ggplot(penguins, aes(x = flipper_length_mm, y = bill_length_mm,
color = species)) +
geom_point()
- Your task is to 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, you can ask for help in office hours or on Ed Discussion.
Install the package. Be sure to do this in the console, not in your R Markdown document. This is because you only need to install a package on time, and you do not want to re-install 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_githubfunction in the devtools package, click here for more details.Load the package. Regardless of how you installed the package you can load it with the
libraryfunction.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:
1️⃣ The name of the package you use and whether it is from CRAN or GitHub
2️⃣ A short description of what the package does (in your own words)
3️⃣ A short description of what you do with the package.
Sample list of packages on CRAN:
| package name | description |
|---|---|
| ape | Manipulate, plot and interact with phylogenetic trees and models. Comes with sample data |
| astrodatR | Astronomy datasets |
| cowsay | Allows printing of character strings as messages/warnings/etc. with ASCII animals, including cats, cows, frogs, chickens, ghosts, and more |
| babynames | US Baby Names 1880-2015 |
| dragracer | These are data sets for the hit TV show, RuPaul’s Drag Race. Data right now include episode-level data, contestant-level data, and episode-contestant-level data |
| datapasta | RStudio addins and R functions that make copy-pasting vectors and tables to text painless |
| DiagrammeR | Graph/Network Visualization |
| janeaustenr | Full texts for Jane Austen’s 6 completed novels, ready for text analysis. These novels are “Sense and Sensibility”, “Pride and Prejudice”, “Mansfield Park”, “Emma”, “Northanger Abbey”, and “Persuasion” |
| ggimage | Supports image files and graphic objects to be visualized in ‘ggplot2’ graphic system |
| gganimate | Create easy animations with ggplot2 |
| gt | Easily Create Presentation-Ready Display Tables |
| leaflet | Create Interactive Web Maps with the JavaScript ‘Leaflet’ Library |
| praise | Build friendly R packages that praise their users if they have done something good, or they just need it to feel better |
| plotly | Create interactive web graphics from ggplot2 graphs and/or a custom interface to the JavaScript library plotly.js inspired by the grammar of graphics |
| suncalc | R interface to suncalc.js library, part of the SunCalc.net project, for calculating sun position, sunlight phases (times for sunrise, sunset, dusk, etc.), moon position and lunar phase for the given location and time |
| schrute | The complete scripts from the American version of the Office television show in tibble format |
| statebins | The cartogram heatmaps generated by the included methods are an alternative to choropleth maps for the United States and are based on work by the Washington Post graphics department in their report on “The states most threatened by trade” |
| ttbbeer | An R data package of beer statistics from U.S. Department of the Treasury, Alcohol and Tobacco Tax and Trade Bureau (TTB) |
| ttbbeer | An R data package of beer statistics from U.S. Department of the Treasury, Alcohol and Tobacco Tax and Trade Bureau (TTB) |
| ukbabynames | Full listing of UK baby names occurring more than three times per year between 1996 and 2015, and rankings of baby name popularity by decade from 1904 to 1994 |
| wesanderson | Color palettes from Wes Anderson films |
| scatterplot3d | Create 3D plots |