Slides adapted from datasciencebox.org by Dr. Lucy D'Agostino McGowan

Agenda

• Follow up
• Meet the toolkit
• Demos
• Lab 01 on your own

Slides adapted from datasciencebox.org by Dr. Lucy D'Agostino McGowan

Join campuswire

Go to bit.ly/sta-212-f19-discuss-join and sign up.

Slides adapted from datasciencebox.org by Dr. Lucy D'Agostino McGowan

Practice answering a question or posting in a channel

• Click on "Class feed" on the top left. You should see a post from me titled Hello!
• Practice responding to this post, up-voting it, etc.
• Click on "Rooms" then #general
• Practice posting here - post a fun fact about your self, respond with an emoji 👍, etc

Slides adapted from datasciencebox.org by Dr. Lucy D'Agostino McGowan

Toolkit

• Scriptability \(\rightarrow\) R
• Literate programming (code, narrative, output in one place) \(\rightarrow\) R Markdown

Slides adapted from datasciencebox.org by Dr. Lucy D'Agostino McGowan

What is R/RStudio?

• R is a statistical programming language
• RStudio is a convenient interface for R (an integreated development environment, IDE)
• At its simplest:^➥
  • R is like a car’s engine
  • RStudio is like a car’s dashboard

Slides adapted from datasciencebox.org by Dr. Lucy D'Agostino McGowan

Let's take a tour - R / RStudio

Concepts introduced:

• Console
• Using R as a calculator
• Environment
• Loading and viewing a data frame
• Accessing a variable in a data frame
• R functions

Slides adapted from datasciencebox.org by Dr. Lucy D'Agostino McGowan

R essentials

A short list (for now):

• Functions are (most often) verbs, followed by what they will be applied to in parantheses:

do_this(to_this)
do_that(to_this, to_that, with_those)

• Columns (variables) in data frames are accessed with $:

dataframe$var_name

• Packages are installed with the install.packages function and loaded with the library function, once per session:

install.packages("package_name")
library(package_name)

Slides adapted from datasciencebox.org by Dr. Lucy D'Agostino McGowan

tidyverse

Slides adapted from datasciencebox.org by Dr. Lucy D'Agostino McGowan

R Markdown

• Fully reproducible reports -- each time you knit the analysis is run from the beginning
• Simple markdown syntax for text
• Code goes in chunks, defined by three backticks, narrative goes outside of chunks

Slides adapted from datasciencebox.org by Dr. Lucy D'Agostino McGowan

Let's take a tour - R Markdown

Concepts introduced:

• Copying a project of mine
• Knitting documents
• R Markdown and (some) R syntax

Slides adapted from datasciencebox.org by Dr. Lucy D'Agostino McGowan

Happy Little Clouds Example

• Go to RStudio Cloud and click on Happy Little Clouds Example
• Open and knit the R Markdown document.

Slides adapted from datasciencebox.org by Dr. Lucy D'Agostino McGowan

R Markdown help

R Markdown cheat sheet

Markdown Quick Reference
Help -> Markdown Quick Reference

Slides adapted from datasciencebox.org by Dr. Lucy D'Agostino McGowan

Workspaces

Remember this, and expect it to bite you a few times as you're learning to work with R Markdown: The workspace of your R Markdown document is separate from the Console!

• Run the following in the console

x <- 2
x * 3

• Then, add the following chunk in your R Markdown document

x * 3

Slides adapted from datasciencebox.org by Dr. Lucy D'Agostino McGowan

How will we use R Markdown?

• Every assignment / report / project / etc. is an R Markdown document
• You'll always have a template R Markdown document to start with
• The amount of scaffolding in the template will decrease over the semester
• You will turn in the .html file on Sakai

Slides adapted from datasciencebox.org by Dr. Lucy D'Agostino McGowan

Lab 01

• Lab instructions are posted on the course website under </>
  • Let's go find today's!