Free R-Resources On the Web!
Here are some links to awesome free R resources that I’ve come across. Many of these tutortials or books I routinely use myself, and have found extremley helpful for learning R and running more advanced models!
Helpful General R-Books/Tutorials
Data wrangling, exploration, and analysis with R by Jenny Bryan
Awesome resource for a variety of tips/tricks for cleaning/analyzing data in R.
Also has some resources for learning Git/GitHub and R Markdown!
Learning Statistics with R by Danielle Navarro
- Probably one of my absolute favorites!
YaRrr! The Pirate’s Guide to R by Nathaniel Phillips
- This one is especially useful for beginners!
Dr. Buchanan’s Seriously Awesome & Comprehensive Stats Website
- This has so many fantastic tutorials! And videos!!
Hadley Wickman’s Advanced R Book - An Amazing Resource!
Russel Poldrack’s Statistical Thinking for the 21st Century
Resources for Learning R by Matt Crump
Getting used to R, RStudio, and R Markdown by Chester Ismav
Answering questions with data: Lab Manual
Exploratory Data Analysis with R by Roger D. Peng
Fundamentals of Data Visualization in R by Claus O. Wilke
Creating Graphs/Plots Easily in R & Information About Plotting:
Introduction to Data Science by Rafael Irizarry
RMarkdown Resources
R Markdown: The Definitive Guide, by Yihui Xie, J. J. Allaire, & G. Grolemund
Introduction to R Markdown by Dr. Michael Clark
RMarkdown for Scientists by Nicholas Tierney
SEM Specific Helpful Links
Dr. Hallquist’s Intro to SEM using Lavaan
Dr. Michael Clark’s SEM Website
- This also has info on Mixture Models/IRT/LGC’s, etc!
Structural Equation Modeling in R using lavaan by Alison Schreiber
Data Analysis Posts & Tutorials by Ian Ruginski
Latent Variable Modeling Using R: A Step-By-Step Guide
Structural Equation Modeling with lavaan
Longitudinal Models - Code & Resources
If you are looking for a great resource that has a ton of code examples for BOTH lavaan and Mplus, check out the Personality Development Collaborative website that also has recommended readings for several types of models as well.
Personality Development Collaborative
Additionally, Dr. Newsom has some fantastic code examples published on his website that have more thorough explanations in his Longitudinal SEM textbook (see below!)
Longitudinal Structural Equation Modeling: A Comprehensive Introduction
- Dr. Newsom also has topics published on his website related to multiple regression & multivariate methods and can be found here.
GitHub Specific Resources
Dr. Garrison’s Data Science Course Resources
- Website has some helpful R resources that go beyond GitHub as well!