Class Overview

Below are materials from several R programming instructional tutorials. The topics and links with instructional information and videos are listed on these pages. More content and instructional videos will be added frequently!

Class Github

Code and data associated with each course can be found on Github here: https://github.com/kelsey-huntzberry/DataAnalysisLab

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Introduction to R

Class 1: Introduction to R, Installation, and Importing Data

• Installing Base R and RStudio
• R Interface & Essential Commands
• Importing .csv Files
• Installing & Loading R Packages
• Exporting .csv Files

Class 2: Data Types and Structures

• Data Types & Structures Overview
• Vectors
• Matrices
• Data Frames & Factor Variables
• Column & Row Binding
• List Basics

Class 3: Essential Data Operations

• Basic Data Exploration
• Conditional Statements
• Subsetting Data
• Merging Data

Class 4: Indexing

• Indexing Vectors
• Indexing Data Frames
• Indexing Lists
• Missing Values & Replacing Values

Class 5: Graphing in ggplot2

• Data Set Up for Graphing
• Graphing Best Practices
• Graphing in ggplot2

Intermediate R

Class 1: Data Manipulation with dplyr

• What is dplyr?
• Choosing variables with select
• Subsetting data with filter
• Sort with arrange
• Chaining multiple dplyr functions
• Creating new variables with mutate
• Grouped summaries with summarize
• Joining data frames

Class 2: User-Defined Functions

• Introduction to user-defined functions
• Building a user-defined function
• Running a user-defined function by group with purrr
• User-defined functions in parallel with apply functions