Welcome to Intro to R and RStudio (Part 1 and Part 2)

R is popular for many applications including data visualization and statistical analysis. This beginner orientation is suitable for people with little or no R experience. It will help you decide whether R is the right tool for your data analysis needs and introduce R terminology using the RStudio interface. See the UBC library Research Commons event calendar for related workshops or workshop materials on intermediate and advanced topics.

Participants are expected to have installed the latest versions of R and RStudio on their computers before the workshop: Install R from https://cran.rstudio.com/ Install RStudio from https://rstudio.com/products/rstudio/download/#download

Overall Learning objectives

At the end of these two workshops (Part 1 and Part 2), you will be able to:

Understand what R is used for and its pros and cons compared to alternatives.
Know how to use RStudio including the console, source editor, environment, and help pane.
Grasp basic concepts and syntax used in R, such as operator, function, package, data type and structure.

Part 1: Getting Oriented in R	Part 2: Working with Data
What does code look like in R	Packages & tidyverse
Objects, assignment, and vectors	Importing data
Data frames + subsetting	Working directory
Functions	Complex subsetting & logic
Light intro to packages	Reproducibility tips

Schedule

Part 1 (Week 1)

0:00 - 0:05	Welcome and setup check
0:05 - 0:10	What is R? Why use it?
0:10 - 0:25	Getting oriented (objects vectors, data frames)
0:25 - 0:35	Functions and subsetting
0:35 - 0:40	Package preview + homework

Part 2 (Week 2)

0:00 - 0:05	Recap
0:05 - 0:15	Tidyverse and importing data
0:15 - 0:20	Working directories
0:20 - 0:35	Complex subsetting practice
0:35 - 0:40	Reproducibility tips

Resources

Recommended Books:

This workshop was developed by Ashley Yue Mao (Author).