Resources

Here we provide additional resources for learning in R. There are many online resources avaiable, but these are some that the workshop authors find most useful.

Resources for learning R

• swirl: https://swirlstats.com/
  • Swirl provides a way to learn R while working in R.
• R for Data Science: https://r4ds.had.co.nz/
• Cookbook for R: http://www.cookbook-r.com/Graphs/
• APS past introduction to R workshop: https://everhartlab.github.io/IntroR_2019/index.html

Resources for visualizations in R

• Fundamentals of Data Visualization: https://clauswilke.com/dataviz/
• ggplot website: https://ggplot2.tidyverse.org/index.html
• ggplot cheatsheet:https://rstudio.com/wp-content/uploads/2016/11/ggplot2-cheatsheet-2.1.pdf
• Top 50 ggplot visualizations: http://r-statistics.co/Top50-Ggplot2-Visualizations-MasterList-R-Code.html
• Example of how you can make a custom ggplot2 theme for a university following the branding guidelines for colour, font and graph style: https://adamhsparks.github.io/theme.usq/

Resources for networks in R

• Network visualization in R https://kateto.net/sunbelt2019
• igraph documentation: https://igraph.org/python/doc/tutorial/tutorial.html
• Network workshop offered at ICPP: https://kelseyandersen.github.io/NetworksPlantPathology/
• Network Visualization Cookbook: https://bit.ly/3aK1DfH