data-and-visualization / intro2r.rev

Engage Early. Lecture Less. R We Having Fun Yet‽

Intro to R; Revised

John Little (@libjohn) & Joel Herndon (@herndonj) 2018-02-28

README

• template code - https://is.gd/rcode
• rrev repo - https://is.gd/rrev2018

This repository contains supporting datasets and files for our Intro to R workshop by the Data & Visualization Services Department, Duke University Libraries. You can find more information about our future and past workshops

• data are in the data directory of this repository

• our guide can be found at our Rfun site.

Outline

1. New R Notebook

   1. Render
   2. Literate Coding
      1. New Code Chunk: Ctrl+Alt+I
      2. R Markdown, intro
   3. library(tidyverse)
   4. Hello World
   5. R Markdown, basic
      1. headings
      2. italics, bold
      3. links, lists

2. Load & View Tibble (data frame)

3. Data Structure & Data Types (brief)

4. dplyr -- part of tidyverse

   1. filter rows
   2. arrange rows by variables
   3. select columns
   4. mutate derive cells / new variables
   5. count column totals
   6. summarize grouping reports

5. Now You Try It. Hands on exercises.

   1. exercise_01.Rmd
   2. exercise_02.Rmd
   3. answers.Rmd

6. Before we go on... final thoughts

7. Visualize with ggvis (syntactically simpler than ggplot2, but...)

   1. https://rfun.library.duke.edu/intro2r/visualization.html

8. Mapping in R

   1. https://rfun.library.duke.edu/intro2r/gis.html

9. Our Workshops

   1. R we having fun yet‽ https://rfun.library.duke.edu
   2. Full DVS workshop series

10. Questions: Walk-in schedule and by appointment Data Science Consulting

License

Shareable via Creative Commons: CC-BY-NC