Overview

Teaching: 360 min
Exercises: lots! min

Questions

• What will we be doing the next 3 weeks?

Objectives

• Acquaint ourselves with scientific computing in RStudio

Code Document Workflow

RStudio allows researchers to write R code alongside their own narrative musings. R is one of the most popular statistical programming languages in the world. It’s free, Open Source, and has a giant user community. When combined with version control with Git, and collaborative sharing on github (or any one of a gazillion other places to share code), you have a powerful scientific computing system, as well as a variety of publishing options such as: pdf, well formated responsive web pages, and presentation slidedecks.

There is also a certain flavor of nerd (we say with all love), who keeps all of their daily life notes in markdown. Those are the sorts of folks who do a lot of this stuff.

We will be using a version of RStudio hosted by UCSB’s LSIT

What will we do?

Week 1: Introduction to Reproducible Publications with RStudio

• 1 Scientific Reproducibility: What is it for?
• 2 Navigating Rstudio and Quarto Documents
• 6 Writing and Styling Qmd Documents
• 9 Bibliography, Citations, and Cross-Referencing

Week 2: Introduction to R

Data file: week2.zip

• 2 Project Management With RStudio
• 3 Data Structures
• 4 Exploring Data Frames
• 5 Subsetting Data

Week 3: Visualization and beyond

Week 3 script: ep7.R

• Introduction to Visualization with ggPlot
• Planet Labs

Key Points

• There’s no need to run between gDocs/MS Word and gSheets/Excel. Do your computation and your writing all in the same place.