This tutorial builds off of Intro to R, part I: The Fundamentals. Together, these two tutorials will help you build an R coding skillset to tackle the vast majority of data processing projects regardless of your field or analytical goals.
Part II Learning Outcomes
Learn to create and manage R projects
Install and load packages
Enter the "tidyverse"
Practice popular functions for "tidy" data
Streamline your workflow with pipes
Create summary statistics by categorical group
Join multiple data files by relational values
Conditionally change or create data with if/else statements
Explore the main avenues of iterative coding
Produce three plots using universal grammar and architecture for producing many more
