Helpful Resources

Introduction to R & GitHub

Comprehensive R Resources

• OHI Data Science Training — an online book written by The Ocean Health Index Team as an introduction to data science with R, with a focus on the tools used for calculating the OHI.
• R Cheatsheets — a collection of 8x11 pages (double-sided) each crammed with all-you-need-to-know information about a given package
• R for Data Science (R4DS) — classic book for learning to do data science with R
• Why RMarkdown? — OHI fellow article
• Stat545 — a well-organized and comprehensive website for a statistics course at UBC, which teaches R/RStudio as well as Git/GitHub
• OHI String Manipulation Examples — Slide deck of OHI examples manipulating strings using stringr, grep, and dplyr

Overview of GitHub

• Why GitHub? — OHI fellow article
• Happy Git and GitHub for the useR — classic book for integrating Git + GitHub with your R workflows

Scientific Computing

Parallel Processing — useful resources that go over foreach and doParallel, both used frequently in OHI workflow

• Parallel Computing in 5 Minutes
• Using Multiple Cores with doParallel
• CRAN documentation

Shiny Dashboard

• Setting It Up
• Shiny User Showcase
• Shiny RStudio Gallery
• OHI Global Dashboard Slide Deck

Example

• Example 1: New Zealand Tourism
• Example 1 Code

Website Customization

GitHub Pages

• Example 1: OHI Baltic Health Index
• Example 2: RMarkdown-Rstudio Webpage

Custom Formats

• Example 2: Tufte
• RMarkdown Custom Formats

Text-Image Wrapping

• Example 1
• Example 2
• Background Image in RMarkdown

Data Visualization

R colors and palettes

• R color cheatsheet
• Customizing colors in R
• Color palettes

ggplot2

• Complete tutorial
• Customizing axis tick marks and labels
• Changing colors automatically and manually
• Exploring some themes

cowplot

• Introduction

ggrepel

• Examples
• Custom label colors