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

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
    • Welcome to Data Wrangling in R/tidyverse
    • Welcome to Data Wrangling in Python/pandas
    • R Example datasets
    • Python example datasets
    • R Solutions
    • Python Solutions
  • 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