R courses and tutorials. Classic, Tidyverse, Data Wrangling, ggplot2

February 27, 2020

This is a list of R material that I found online that I think can be useful as reference or as working material to learn R / RStudio / Mardkown.

I’ll try to separate the links between “Classic” and “Tidyverse” versions, but that is not always possible… “Tidyverse” would include plotting with ggplot2 R package which itself is part of the multipackage called tidyverse.

The book section does not particularly distinguish between the R categories, but rather have emphasis on Data, Graphics, Markdown, Programming, and Statistics.

Classic R

A Learning Guide to R (Classic R, Markdown, Biological datasets)
- PDF
- Solutions – PDF
- Data files
- (Course page)

An Introduction to R – Peter Haschke on behalf of THE STAR LAB:
- PDF (Classic R)
Computational Genomics With R
- Free version: https://compgenomr.github.io/book/ (2019-09-24)
- CRC publication in April 2020 to be released – amzn.to/2PjWDEI

Tidyverse R

Introduction to R, version 2 (intro to Tidyverse R).
- PDF
- HTML
- Slides and Materials
- Working with data (Monash University) – All links
Data Wrangling in R (tidyverse) & Python (pandas)
- Thanks to Mark Banghart (UW-Madison Ophthalmology)
- Book: Data Wrangling Essentials
- Study Group Files
  - Week 3
  - Week 5

Books (free)

More tiles can be found on the bookdown web page.

Here are a few that are relevant. These books are free reading online in the new HTML bookdown format, but are also published by renowned publishers such as O’Reilly or CRC Press.

R Markdown: The Definitive Guide, Yihui Xie, J. J. Allaire, Garrett Grolemund

R for Data Science, Garrett Grolemund & Hadley Wickham (author of ggplot2)

R Graphics Cookbook, 2nd edition, Winston Chang

Advanced R, Hadley Wickham (author of ggplot2)

Text Mining with R – A Tidy Approach, Julia Silge and David Robinson

Courses and Workshops

Social Science Computing Cooperative – Training and registration page
Ebling and Steenbock libraries R Programming Workshops