InfoGuides: Software: Learn R: Tutorials

R for Data Science by Hadley Wickham; Mine Çetinkaya-Rundel; Garrett Grolemund
Call Number: Available Online through the author

ISBN: 9781492097402

Publication Date: 2023-07-18

This book is one of the best resources and good to either read or refer to. However, non-programmers may find it doesn't start at the beginning. For Solutions to Exercises, click here.

LinkedIn Learning

Best for Most People: R For Data Science by Barton Paulson.

See also his: R: An Introduction Playlist / one video (~2.2 hrs) from Barton Paulson / datalab.cc - Goes slowly for beginners, and talks about his favorite packages such as rio, pacman, and tidyverse. Covers visualization, data management, and regression.

More Comprehensive Resources

An Introduction to R (University of Aberdeen)
Focused on Ecology and Biostatistics. To go with their Introduction to R training course
The Epidemiologist R Handbook
Describes all the fundamentals and much more. See also their Interactive R Tutorials (requires creating a free account).
Data Science with R and RStudio (UQ Library)
Series of 5 videos on the basics of R, data manipulation, and visualization

R with RStudio: Getting Started (~1.5 hrs): Shows all the basics of starting and organizing a process, opening a data file and doing basic data management and visualization. Markdown document with the code

Learn R in 39 minutes (Equitable Equations)
(39 min) Good overview of getting started and key functions in R, but goes quickly and may use terminology some are unfamiliar with.Best for people who know other programming languages.

Follow-Along Examples with Public Data

Analyze Survey Data for Free (Anthony Damico)
Instructions and R code for the analysis of 49 Public Microdatasets including downloading the data, weighting, preparing, and reproducing statistics.
SSDAN YouTube Channel
Webinars from the Social Science Data Analysis Network on analyzing US Census Data in R.

Analyzing US Census Data by Kyle Walker
Call Number: Available Online for Free through the Author

ISBN: 1032366443

Publication Date: 2023-01-16

Access, wrangle (tidyverse), and work with margins of error in the American Community Survey. Make maps and interactive web visualizations and perform spatial analysis using the sf package. Create spatial and machine learning models.