BootcampR AN INTRODUCTION TO R Jason A. Heppler, PhD University of - - PowerPoint PPT Presentation

BootcampR

AN INTRODUCTION TO R

Jason A. Heppler, PhD University of Nebraska at Omaha February 11, 2020 @jaheppler

Welcome!

• Hi. I'm Jason.

I like to gesture at screens.

Digital Engagement Librarian, University of Nebraska at Omaha Mentor, Mozilla Open Leaders Researcher, Humanities+Design, Stanford University

Workshop structure

• Lecture and hands-on exercises: 90 minutes.
• Readings and resources available through the workshop

website: https://tinyurl.com/unobootcamp

• Campus-specific resources available through the Research Data

Services guide and Data Visualization guide (libguides.unomha.edu)

Today's plan

• Orientation to the workshop syllabus
• Installation of R and RStudio (or rstudio.cloud)
• Installation of packages we'll be using
• Troubleshooting and getting/finding help

But first, what is R?

• R is a programming language and environment for statistical

computing and data visualization.

• Base R refers to the standalone suite of pre-packaged functions

that allow R to function as a language.

• Extensions to R are called packages.
• A package is a container of functions that gives R more

flexibility.

"The bad news is that when ever you learn a new skill you’re going to suck. It’s going to be

• frustrating. The good news is that is typical and

happens to everyone and it is only temporary. You can’t go from knowing nothing to becoming an expert without going through a period of great frustration and great suckiness."

—Hadley Wickham

• Cool. What's RStudio?
• RStudio is an Interactive Development Environment (IDE)
• Comes with a console, help and documentation, figures, project

management, environment variables

• Let's look at it quick!

Script window: You can store a document of commands you used in R to reference later or repeat an analysis. Console: Outputs appear here. The > sign means R is ready for input. Workspace: Lists objects currently accessible: datasets; special functions; etc Plot/Help/Packages: Plots, help menu, packages, and files in your filesystem appear here.

• Neat. Let's get started.
• Download the latest version of R: cloud.r-project.org

Install R with the default settings.

• Download RStudio: rstudio.com/products/rstudio/download

Steps are here: https://jasonheppler.org/courses/bootcampr.2020/reading/01-reading/

Recommended RStudio setup

• Tools > Global Options
• Don't restore .RData into workspace
• Never save workspace to .RData on exit

Installing packages

If you already have RStudio and R on your machine, run:

update.packages(ask = FALSE, checkBuilt = TRUE)

In the console, type in the following and hit return:

my_packages <- c("tidyverse", "broom", "gapminder", "GGally", "ggraph", "ggrepel", "ggridges", "gridExtra", "here", "maps", "mapproj", "mapdata", "rlang", "scales", "sp", "usethis", "devtools")

Then, in the console type in the following and hit return:

install.packages(my_packages, repos = "http://cran.rstudio.com")

Then, go grab a coffee. ☕

You mentioned alternatives to RStudio?

• RStudio is available on the machines in the library.
• rstudio.cloud for a cloud-based environment.

And the syllabus?

Let's look it over. It's available here: https://tinyurl.com/unobootcamp

Questions? Troubleshooting?

Next workshop: February 18, 1:30p-3p: Introduction to R (CL 112)