Resources for learning R

Cheat Sheets

Data Wrangling with dplyr Cheat Sheet: https://github.com/rstudio/cheatsheets/raw/master/data-transformation.pdf Links to an external site.

Data Visualization with ggplot2 Cheat Sheet: https://github.com/rstudio/cheatsheets/raw/master/data-visualization-2.1.pdf Links to an external site.

RMarkdown Cheat Sheet: Links to an external site. https://github.com/rstudio/cheatsheets/raw/master/rmarkdown-2.0.pdf Links to an external site.

Tutorials

DataCamp R Introduction: https://www.datacamp.com/courses/free-introduction-to-r Links to an external site.

Free, interactive tutorial to learn basic R syntax

Books

R for Data Science:  http://r4ds.had.co.nz/ Links to an external site.

An online textbook showing how to use the tidyverse to perform practical data analysis tasks. Include exercises you can work through.

Advanced R:  http://adv-r.had.co.nz/ Links to an external site.

A good resource to read if you want a deeper understanding of exactly how the R language works. Of more interest to those that really want to understand how to be a good programmer rather than analyze data.

R Markdown: The Definitive Guide: https://bookdown.org/yihui/rmarkdown/ Links to an external site.

Tons of information on creating RMarkdown documents and all the different types of output you can produce with little formatting effort

Helpful Websites

Search Site for R Packages:  https://www.rdocumentation.org/  Links to an external site.

A good search engine to search all the help files of all the packages available on CRAN. Useful for finding out which packages contain a particular function name if you don't know.

RStudio recommendations for learning R:  https://www.rstudio.com/online-learning/ Links to an external site.

Debugging tips: General debugging advice: 5 Essential Tips to Debug Any Piece of Code Links to an external site., R specific but for a more experienced R user: Object of type ‘closure’ is not subsettable by Jenny Bryan Links to an external site.

It's pretty rare that anyone writes code that works correctly the first time. Learning how to "debug" your code and figure out what's wrong is a skill that takes some time to practice. These videos are good introductions to the topic.

Shiny Developer Conference: https://www.rstudio.com/resources/webinars/shiny-developer-conference/ Links to an external site.

A good resource for those interested in creating interactive websites with R using the popular Shiny package. Watch from the beginning to learn the basic concepts of "reactive" programming which are essential to writing Shiny applications.

Project Workflow by Jenny Bryan: https://www.tidyverse.org/blog/2017/12/workflow-vs-script/ Links to an external site.

Recommendations for how to structure your files and code when working on large data projects.