R Exposure Workshop

University of Washington Tacoma

Installation

• R and RStudio Installation Instructions
• Enabling compilation of packages
• R Exposure Setup

Pre-Workshop Assignments

R1: Introduction to R and RStudio

• R Script for R1

R2: Data Visualization and Management

• R Script for R2

R3 (Not Current)

• Unit 1: Loops
  • R Script for R3, Unit 1
• Unit 2: Vectorization
  • R Script for R3, Unit 2

R4 (Not Current)

• Unit 1: Strings
  • R Script for R4, Unit 1
• Unit 2: Mapping
  • R Script for R4, Unit 2

Post-Workshop Assignments

General R Resources:

• UW CSSS508: My University of Washington Introduction to R course which forms the basis for this workshop. All content is freely available including lecture recordings.
• R for Data Science online textbook by Garrett Grolemund and Hadley Wickham. One of many good R texts available, but importantly it is free and focuses on the tidyverse collection of R packages which are the modern standard for data manipulation and visualization in R.
• Advanced R online textbook by Hadley Wickham. A great source for more in-depth and advanced R programming.
• R Studio Primers: Interative online tutorials in R.
• swirl: Interactive tutorials inside R.
• Useful RStudio cheatsheets on R Markdown, RStudio shortcuts, etc.
• Code style guide for writing functions, etc.
• Good Enough Practices in Scientific Computing: From abstract, “This paper presents a set of good computing practices that every researcher can adopt, regardless of their current level of computational skill.”

Plotting

• Base R graphics
  • Shapes and line types in base R
  • Color names (PDF) in base R
• ggplot2
  • ggplot2 documentation
  • ggplot2 Cheat Sheet
• Visualization chapter in R for Data Science
• Cookbook for R graph reference
• R graph catalog at UBC

Data Manipulation

• Data Transformation chapter in R for Data Science
• dplyr:
  • dplyr cheatsheets with diagrams to help you remember functions
  • Introduction to dplyr
  • Window functions in dplyr
  • Joining data in dplyr
  • More advanced joins: sqldf for easy SQL in R
• Data Structures chapter in Advanced R
• Tidying:
  • tidyr vignette
  • Tidy genomics (a walkthough of tidy data preparation and analysis)
• Dates and times:
  • lubridate vignette
• Factors:
  • Lots on factors from Jenny Bryan
• Strings
  • stringr vignette
  • Blog post explaining paste() for combining strings
  • Site for regular expression testing with a good cheatsheet and hover explanations

Importing and Exporting Data

• Data import and export:
  • readr documentation
  • Column types in readr
  • Using dput() when asking for help
  • readxl and openxlsx packages for Excel