R graphics with ggplot2
Jan 08, 2020, Location TBD
Haley Jeppson, hjeppson@iastate.edu.
Sam Tyner, sctyner@iastate.edu.
Heike Hofmann, hofmann@iastate.edu.
This workshop is designed to help you get started with creating elegant and high quality graphics in R, based on the ggplot2 package. The course will be data centric, with lots of different data sets that illustrate examples of the different techniques used for different problems.
The course will be a mix of instruction and follow-up exercises. It will be held in a computer lab but you are encouraged to bring your own laptops, with software already loaded. A list of software will be available at this site several days prior to the workshop.Lectures and timetable
| Date | Notes | Lecture and Resources |
|---|---|---|
| 9:00 - 10:30 | Look at that! | basic plots: scatterplots, boxplots, histograms, barcharts and more, some aesthetics: color, shape, ... 1-GraphicsIntro.R 1-GraphicsIntro.Rmd ggplot2 cheat sheet |
| 10:30 - 11:30 | Basics | Making maps using ggplot2 2-Basics.R 2-Basics.Rmd 2-Basics.pdf |
| 11:30 - 12:30 | Lunch Break | |
| 12:30 - 2:00 | Layers of Graphics | More detailed look at the ggplot2 package: layers, geoms 3-Layers.R 3-Layers.Rmd noaa.rdata animal.csv |
| 2:00 - 2:30 | What do we see? | Discussion of faceting and cognitive aspects of human perception 4-Perception.R 4-Perception.Rmd frame.csv MovieSummary.csv |
| 2:30 - 3:00 | Polishing your plots | Finishing touches: options, themes 5-PolishingPlots.R 5-PolishingPlots.Rmd YourTurnSolutions.R |
| 3:00 - 4:00 | Learning RMarkdown | Make reproducible reports with R results embedded in them. 6-RMarkdownBasics.R 6-RMarkdownBasics.Rmd YourTurnSolutions.R |
Learning outcomes
After the end of the this one course, we expect you to be able to do the following:
- Visualize data in the ggplot2 package: do basic plots, as well as know about the layer system, and be able to structure complex graphics
- Take a dataset and use static graphics to look for interesting features.
- Know about some aspects of human perception and what to avoid when plotting data.
Getting Ready on your own machine
You can bring your own laptop and work on it, if you like to. In order to keep up with everybody else, we're asking that you start installing the following pieces of software ahead of coming to the workshop:
- Install R (version 3.2.x) (from www.r-project.org)
- It is recommended that you install the latest version of RStudio (from www.rstudio.org)
