Resources

Videos

Check out my Intro to R Youtube Channel! These feature lessons from courses I teach through National Institutes of Health and Johns Hopkins University.

Getting started

• R reference card
• R introductory guide
• R jargon
• R terminology
• What is the Tidyverse/what packages are in it?
• Where do package names come from?
• Lawlor et al. 2022: Ten simple rules for teaching yourself R

Troubleshooting guides

• Guide on when to use quotes or backticks
• Guide on what functions require pull() first

Keyboard shortcuts

• RStudio shortcuts can be found here.

Extra help

Data importing

• Video on data import
• Video for PC users who want to see how to move files around (especially from downloads)
• Video for Mac users who want to see how to move files around (especially from downloads)
• Extra information about file paths

Joining datasets

• full-join() animation
• inner_join() animation
• left-join() animation
• right-join() animation

Plotting data

• ggplot2 gallery - See what is possible with ggplot2 to create graphs in R
• ggplot2 theme cheatsheet
• Visualization best practices
• Guide on when to use which plot
• Guide to building up a ggplot2 figure

Statistics

• Guide on when to use what stats test
• Modeling 101
• Common statistical tests are linear models (why understanding linear models will get you far!)
• Interpreting GLM output (e.g., deviance)

Courses & Conferences

Online Courses and Resources

• Tidyverse Skills for Data Science Book (a great next step to learn more about the tidyverse, some modeling, and machine learning)
• Tidyverse Skills for Data Science Course (same content with quizzes, can get certificate with $)
• Open Case Studies
  (resource for specific public health cases with statistical implementation and interpretation - a great next step for learning more about stats and wrangling!)
• R for Data Science (great general information)
• R for Applied Epidemiology (Similar general introductory course)
  
• R basics chapter of Introduction to Data Science by Rafael A. Irizarry(great general information)
• Dataquest (general interactive resource)
• Quick R Guide (nice free general resource)
• Introduction to Reproducibility
• Advanced Reproducibility

R Conferences

• The RStudio/Posit conference has lots of useful workshops!
• useR! — International R User Conference information can be found here.

R for Stata, SPSS, and SAS files

• The Haven package
  (This package is super useful for reading and writing files so that they are compatible across Stata, SPSS, SAS, and R)
• R vs Stata
  (See page 505)
• R <-> SAS Cheatsheet
• SAS to R Converter
  
• You might also find large language models like ChatGPT useful for code conversion. Be sure to check the output because AI makes mistakes!