index.md

title	author	date	output
R Resource Compendium	E Bryan Crenshaw III	November 2, 2014	html_document keep_md true

Overall Resources

• R for Data Science
• Quick-R
• Field Guide to the R Ecosystem
• Advanced R
• ComputerWorld: Beginner's guide to R
• R Bootcamp
• R Markdown: The Definitive Guide
• Efficient R Programming
• R Tutorial: An R Introduction to Statistics - Statistics eBook written with R in mind
• Learning R - Textbook

Topical Resources

• Data Import
• Data Visualization with R
  • Workshop: Bubble plots, Hexbin plots, Visualizing contingency tables, Visual inference , and Presentation of statistical results
  • Graphics for communication: Chapter 28 R for Data Science
  • Beautiful plotting in R: A ggplot2 cheatsheet
  • Creating publication-quality graphs with ggplot2
  • Map Plots Created With R And Ggmap - A Tutorial
  • Simple Graphs with R
  • timevis: An R package for creating timeline visualizations
• Databases using R
• Dates - Format dates using strftime() crib sheet
• Descriptive Statistics
• EDA Packages
  • summarytools
  • funModeling
• GIS/Geocomputation
  • Earth Analytics Course: Learn Data Science
  • Geocomputation with R
  • Leaflet for R
  • Visualising your hiking trails and photos with My Tracks, R and Leaflet
  • GPX overview: An R function to create an overview of your .gpx files (using leaflet and RgoogleMaps)
  • Plotting GPS tracks with R
• Using R with Jupyter Notebooks
• Machine Learning
  • Clustering: How to Perform Hierarchical Clustering using R
• Packages
  • Writing Frictionless R Package Wrappers — Introduction
  • pkgdown - pkgdown is designed to make it quick and easy to build a website for your package.
• Regular Expression Language - Quick Reference
• reticulate
  • R you ready for python (gentle introduction to reticulate package)' - Several links in this page for other uses of R and Python together, including:
    • R for data wrangling and pre-processing and python via reticulate to do some prediction
    • Using python again via reticulate to do some prediction and used R’s almighty ggplot to visualize the results
  • The reticulate package solves the hardest problem in data science: people
  • reticulate GitHub site - there are different ways to use R and Python interactivel. Check reticulate’s github site to see which one suits you best.
• RStudio - See below
• shiny
  • Shinyapps.io - Getting started
  • Persistent data storage in Shiny apps
• Slides/Presentations
  • Powerpoint
    • Make PowerPoint Presentations with R Markdown - A good introductory video, but a bit long.
    • Rendering PowerPoint Presentations with RStudio
    • Render PowerPoint presentations from R Markdown documents: Examples on GitHub
    • Powerpoint Section in R Markdown: The Definitive Guide
    • How to Make a PowerPoint Template
  • Xaringan
    • Xaringan Google Search
    • xaringan Presentations - R Markdown: The Definitive Guide
    • Make Your Presentations Fun in Xaringan
• Websites/Blogs
  • How I set up my first website (again)
  • Specific to R Markdown
    • GitHub and RStudio - This tutorial teaches you to create R Markdown documents with RStudio and publish them via GitHub, using GitHub Pages.
    • "GitHub Pages" using blogdown - Parts that deal directly with GitHub Pages
    • blogdown: Creating Websites with R Markdown - Entire blogdown overview.
      • 1.2 A quick example
    • How I started a blog based on blogdown: A walkthrough
    • share-blogdown - This is a demo course website made with the blogdown R package and a custom Academic theme for Hugo. This website was made as part of an RStudio Webinar.
  • General Approaches
    • HUGO - The world’s fastest framework for building websites.
    • Academic - Source of themes for RMd, such as Maya Gans.
    • Hugo Academic Theme repo - The website builder for Hugo. Build and deploy a beautiful website in minutes! https://sourcethemes.com/academic/
    • Hugo vs. Jekyll: Comparing the leading static website generators
    • Getting started with Jekyll, a free and open source static site generator
  • GitHub Pages
    • What is GitHub Pages? Websites for you and your projects.
    • Getting Started with GitHub Pages
    • Creating and Hosting a Personal Site on GitHub - A step-by-step beginner's guide to creating a personal website and blog using Jekyll and hosting it for free using GitHub Pages.
    • Easy Markdown to Github Pages - Convert Markdown files in Github to a full website using Github Pages.

Specific Commands

• Barplot - basic examples
• beeswarm graph command
• dput example
• Graphs
  • ggplot2 graph colors
  • Conditional colors: Setting colours in ggplot conditional on value
  • How to add values on bar of grouped bar plot
  • Basics of Histograms
  • Plotting distributions (ggplot2)
  • Plotting means and error bars (ggplot2)
  • Viridis colour scales - provide colour maps that are perceptually uniform in both colour and black-and-white.
• Inputs
  • Input from console
  • knitr: Working with subdirectories
• pins: Pin, Discover and Share Resources
• Rows - preallocoation vs rbind
• Rows - insertRow
• Slidify Package - starting
• Slidify Package - title page color change in Stack Overflow
• Sorting - basics
• Introduction to stringr
• t-test general intro
• t-test on 2 data frames after finding matching columns
• Venn Diagrams

Packages

• slider - provides a family of general purpose “sliding window” functions. The goal of these functions is usually to compute rolling averages, cumulative sums, rolling regressions, or other “window” based computations.

Solving Specific Problems

• R - list to data frame
• R can API and So Can You! - Using plumbR to make API, and how to dockerize it
• RStudio 1.2 Preview: Plumber Integration
• Scraping web data about Australian politicians with RSelenium
• Adding themes and logo to ggplot graphs
• Color picker for data

RStudio {#rstudio}

• R Studio Blog: Archives
• Addins - Instructions
• Libraries Folder - Find using .libPaths()
• snippets
• Using the RStudio IDE
• Themes
  • Yule RStudio
• Version Control with RStudio

Examples of R in Action

• Facebook Data Geeks Using ggplot2 stat_smooth
• Looking at Prices in the ACA Exchanges, including link to code on Github