R Help
Below are a number of guides and links to help you with R and RStudio.
Research Methods and Statistics
A guide for using R for research and statistics.
This site includes tutorials on R Statistics with particular help for visualizations.
This is a book by Hadley Wickham that teaches advanced programming skills.
Getting used to R, RStudio, and R Markdown
A brief introduction to R, RStudio and R Markdown
An introduction to statistical and data sciences via R
This book helps learners with R from the ground-up.
R for publication helps give students the skill to
Learn R in R!
This site goes into a lot of detail on statistics and then provides information on using R for data analysis.
A simple guide for using R for psychological research.
A guide from an ecologist on using R for statistical analyses
Data Visualization for Social Science
This is a practical guide for R and ggplot
An introduction to the tidyverse.
A Bayesian course with examples in R
This site from Dr. Finzi has gathered a number of resources to help with R.
Cheat sheets to learn packages.
Base R Cheat Sheet
A list of cheatsheets pulled together from RStudio.
A tutorial to look at data with R.
An introduction to R for python users
Links to 75 different R tutorials
Getting started with Data Analysis
Guides and Tutorials from Princeton libraries for conducting data analysis
Data Camp course on working with R to retrieve data from the web.
University of Cincinnati Business Analytics R Programming
An introduction to R, R Markdown, R notebook and two courses in using R
R for Data Science Online Learning Community
An introduction to using R and RStudio
Learn R for Psychology Research
A crash course for using R so that psychologists can import, wrangle and plot their data today.
An intro to R with cat memes.
Statistical Inference: A tidy approach
An introduction to the tidyverse and statistical tests
Solutions to common tasks and problems in analyzing data.
A book for using R in datascience.
A resource that demonstrates that anyone can learn R.
A course for gaining skills with R and datascience.
A course for gaining skills with R and datascience.
This course was indented to introduce students to topics, concepts, and workflows that are commonplace in “data science” more generally but are less formally discussed in Psychology.