R

Installation

Normal Setup

R must be installed before installing RStudio

1. R Download — The Comprehensive R Archive Network

2. RStudio Download —Posit.co

OR

2. Positron — Posit.co

Development Setup for Compling Packages (Extra)

• Windows — RTools

  • Use installation instructions on package website or use this alternative method: installr package (CRAN site)

    • installr::install.Rtools()

• macOS — Xcode Command Line Tools (See guide for Terminal commands)

  • Guide by Daniel Kehoe

Using R Online

• NYU Virtual Computing Lab (NYU Login Needed)

  • Uses Windows

• Posit Cloud (Free and Academic Pricing Available)

  • Uses Ubuntu Linux

• GitHub Education gives access to Codespaces

Publishing

• Quarto should be downloaded as a binary from its website for installation.

• Exporting (Knitting) from RMarkdown or Quarto requires a LaTeX installation.

• Easy method (Works in most cases)

  • TinyTex Instructions

• Advanced (Works in all cases, but difficult to manage)

  • Windows — MiKTeX

  • macOS — MacTex

Videos

• How to Install R and RStudio on Windows 11 - YouTube

• How to Install R and RStudio on Mac / MacOS (2024) - YouTube

• R Tutorials and Package Reviews by Albert Rapp - YouTube

• Positron IDE for R & Python | How to Install & Use | Better than RStudio? | Ft. @milos-makes-maps by Statistics Globe - YouTube

• Getting Started with Positron: A Quick Tour by Posit PBC - YouTube

• Funny Video about Python vs. R by Luke Barousse - YouTube

Handouts

RMarkdown Tables (Old Version)

External Resources

R

• An Introduction to R (2024) — Good Starting Place

• Posit Cheatsheets (RStudio)

• Command Palette — Posit

• R Tutorial — Geeks for Geeks

• Best Coding Practices for R (2022)

  • Chapter 3 Code Structure

• R for Graduate Students (2019)

  • Chapter 3.6 Troubleshooting Errors

• Working Directories and Workspaces in the RStudio IDE — Posit

• Analyzing Star Wars Movie Scripts

• An Introduction to Machine Learning with R

• Basic Text Mining with R

• Knitr’s best hidden gem: spin

• R-Bloggers (Blog about R)

  • RStudio Keyboard Shortcuts — RBloggers

• R Cookbook, 2nd Edition

• R for Data Science (2e)

R Courses

• Datacamp (Free Access with Github Student Developer Pack)

  • Github Student Developer Pack

RMarkdown

• Posit Documentation on RMarkdown

  • RMarkdown uses Pandoc’s implementation of Markdown.

• R Markdown: The Definitive Guide (2023)

  • More Advanced: R Markdown Cookbook (2024)

Regular Expressions

• Regular Expression Playground

• RegExr: Learn, Build, & Test RegEx

• Regex Cheat Sheet

• Regular Expressions Cheat Sheet — maketecheasier

• Related regex information in R for Data Science (2e) book.

• Regular Expressions (RegEx) in 100 Seconds— Fireship on YouTube

Data Types

• Vector

  • Dimensions: 1D

  • Homogeneous?: Yes

  • Key use case: Basic data storage

• List

  • Dimensions: 1D (nested possible)

  • Homogeneous?: No

  • Key use case: Collection of various data types

• Matrix

  • Dimensions: 2D

  • Homogeneous?: Yes

  • Key use case: Mathematical operations

• Data Frame

  • Dimensions: 2D

  • Homogeneous?: No (columns can be different)

  • Key use case: Tabular data analysis

• Array

  • Dimensions: 2D or more

  • Homogeneous?: Yes

  • Key use case: Multi-dimensional data

Miscellaneous

• DAGitty for Directed Acyclic Graphs

  • Online creator

  • CRAN R package

• Styling code using Tidyverse style guide with styler package.

  • See also lintr for error checking.

  • styler can be used before lintr to reduce errors marked.

  • lintr can set a style guide using the command lintr::use_lintr(type = “tidyverse”)