Bookmark Collection

A collection of interesting links featuring open-access books, tutorials, and articles on data analysis, data visualization, and reproducible workflow.

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R+

• R for Data Science by Hadley Wickham and Garrett Grolemund.
• R Markdown Cookbook by Yihui Xie, Christophe Dervieux, and Emily Riederer.
• R Markdown: The Definitive Guide by Yihui Xie, J. J. Allaire, and Garrett Grolemund.
• R Packages by Hadley Wickham and Jenny Bryan.
• blogdown: Creating Websites with R Markdown by Yihui Xie, Amber Thomas, and Alison Presmanes Hill.
• The tidyverse style guide.

Git and GitHub

• Happy Git with R by Jenny Bryan.
• Notes on Git and GitHub by Daniel Czarnievicz.

Write thesis in R Markdown

• A great tutorial by Anna Chirumbolo.
• Another great tutorial by Rosanna van Hespen.

Bayesian data analysis

• Doing Bayesian Data Analysis by John Kruschke.
  • (Re)Doing Bayesain Data Analysis by R Pruim.
  • Doing Bayesian Data Analysis in brms and the tidyverse by A Solomon Kurz.
• Statistical Rethinking by Richard McElreath.
  • Statistical rethinking with brms, ggplot2, and the tidyverse by A Solomon Kurz.

Data visualization

• Fundamentals of Data Visualization by Claus O. Wilke.
• Data Visualization by Kieran Healy.
• R Graphics Cookbook by Winston Chang.

Reproducible reports

• Reproducible Research Tutorial Series and YouTube channel by Riffomonas.
• initial steps toward reproducible research by Karl Broman.

General

• Coding Club
• Hemingway Editor
• download csl file