Introduction to R the Tidy Way

at UCI Center for Statistical Consulting

Before the Workshop

• Download and Install R You want to download the base version as if you are installing R for the time. If you already have R on your computer make sure that it is the latest version(3.6.2). If it is not the latest version then please update it.
• Install RStudio. Free version should suffice.
• Join RStudio Cloud. If you already have a Google (or a GitHub) account you can log in using either of these accounts directly. You do not need to do anything on RStudio Cloud yet. I just want to make sure you are able to sign in.

Of all these steps RStudio Cloud is the most important. If you run into issues with any of the installations, we can take a look at it during lunch break. We will not be needing them before lunch.

During the Workshop

Slides

0. Introduction
   
1. Getting to Know the Basics
2. Data Visualization
3. Data Wrangling
   
4. Working Locally With R
   
5. Dealing with Datasets
   
6. Case Study
7. Modeling
   
8. Everything I did not have time to cover

Datasets

Download instructions

• LA Police Payroll To be downloaded in csv format.

• cool_study

• HIV Antibody Test Note that the data is in XPT format.

After the Workshop

• Join the conversation on Twitter with #rstats #tidyverse tags. It is a welcoming community.
• Find your local R meetups on meetup.com.
• Join RStudio Community.
• Try Out Tidy Tuesday.
• Join R for Data Science Learning Community.

Instructor Info

Mine Dogucu, Assistant Professor of Teaching, Department of Statistics, University of California
minedogucu.com
[@MineDogucu](http://www.twitter.com/MineDogucu)

This workshop will be TA’ed by Mary Ryan [@Marym_Ryan](https://twitter.com/Marym_Ryan).

Source Code

The source code is available here

License

This work is licensed under a Creative Commons Attribution-ShareAlike 2.5 Generic License.