Monica Keith, Shane Scaggs, & Delaney Glass
Date and time: 01/25/2021 9am-11am Pacific Standard Time
You can register our workshop at this link: https://washington.zoom.us/j/92115452364
Here are our slides
Backup is https://rstudio.cloud/ if you have a problem with your computer.
Join our low-volume mailing list (must be signed into google) here
- Create new project "ggplot practice 2"
- Load starwars data
- Custom theme
- Re order
- Two discrete variables
- Fill colors
- Fill gradients
- Stat density 2d (call statistic versus geom)
- Trend-line
- Overlay points
- View key distributions of interest
- Optional to overlay points (jitter)
- Typeface & size of axes titles/legend
- Load storms data
- View many different distributions
- Edited legend (position, text, order of variables)
- Background fill color, border
- Saving for publication
Before you join the workshop, please make sure you have the most recent versions of R and RStudio installed on your computer. Here's how to get those programs:
R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.
Video TutorialInstall R by downloading and running this .exe file from CRAN. Also, please install the RStudio IDE. Note that if you have separate user and admin accounts, you should run the installers as administrator (right-click on .exe file and select "Run as administrator" instead of double-clicking). Otherwise problems may occur later, for example when installing R packages.
Video TutorialInstall R by downloading and running this .pkg file from CRAN. Also, please install the RStudio IDE.
You can download the binary files for your distribution
from CRAN. Or
you can use your package manager (e.g. for Debian/Ubuntu
run sudo apt-get install r-base and for Fedora run
sudo dnf install R). Also, please install the
RStudio IDE.
Further reading:
Content on this site is licensed under a Creative Commons Attribution 4.0 International license.