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R in 3 Months (Fall 2025)

Packages

This lesson is called Packages, part of the R in 3 Months (Fall 2025) course. This lesson is called Packages, part of the R in 3 Months (Fall 2025) course.

Transcript

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Your Turn

Working in the console, install the Tidyverse package using the code install.packages("tidyverse")
Check in the Packages tab on the bottom right panel to confirm that the tidyverse package has been installed successfully.

If you get any messages from R about conflicts when loading packages, don't worry about them for now.

Also, if you are a Windows user and get messages about downloading RTools, you can safely ignore these as well. You should not need RTools to install packages used in this course.

Learn More

There are thousands and thousands of R packages. What this means is that, if you ever wonder, can I do that in R, the answer is probably yes!

Have any questions? Put them below and we will help you out!

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Course Content

128 Lessons

Welcome to R in 3 Months (Fall 2025)

Complete Pre-Survey

Sign up for Discord

How to Organize Your Files in R in 3 Months

Welcome to Getting Started with R

Install RStudio

Objects and Functions

Examine our Data

Import Our Data Again

Week 1 Live Session (Fall 2025)

Welcome to Fundamentals of R

Update Everything

Start a New Project

group_by() and summarize()

Create a New Data Frame

Bring it All Together (Data Wrangling)

Week 2 Project Assignment

Week 2 Coworking Session (Fall 2025)

Week 2 Live Session (Fall 2025)

The Grammar of Graphics

Setting color and fill Aesthetic Properties

Setting color and fill Scales

Setting x and y Scales

Adding Text to Plots

Bring it All Together (Data Visualization)

Week 3 Project Assignment

Week 3 Coworking Session (Fall 2025)

Week 3 Live Session (Fall 2025)

Quarto Overview

Tips for Working with Quarto

Bring It All Together (Quarto)

An Important Workflow Tip

Week 4 Project Assignment

Week 4 Coworking Session (Fall 2025)

Week 4 Live Session (Fall 2025)

Downloading and Importing Data

Overview of Tidy Data

Tidy Data Rule #1: Every Column is a Variable

Tidy Data Rule #3: Every Cell is a Single Value

Tidy Data Rule #2: Every Row is an Observation

Week 6 Coworking Session (Fall 2025)

Week 6 Live Session (Fall 2025)

Changing Variable Types

Dealing with Missing Data

Advanced Summarizing

Binding Data Frames

Week 7 Coworking Session (Fall 2025)

Week 7 Live Session (Fall 2025)

Bring It All Together (Advanced Data Wrangling)

Week 8 Project Assignment

Week 8 Coworking Session (Fall 2025)

Week 8 Live Session (Fall 2025)

Best Practices in Data Visualization

Pipe Data into ggplot

Reorder Plots to Highlight Findings

Use Color to Highlight Findings

Add Descriptive Labels to Your Plots

Use Titles to Highlight Findings

Use Annotations to Explain

Week 9 Coworking Session (Fall 2025)

Week 9 Live Session (Fall 2025)

Create a Custom Theme

Customize Your Fonts

Try New Plot Types

Bring it All Together (Advanced Data Visualization)

Week 11 Project Assignment

Week 11 Coworking Session (Fall 2025)

Week 11 Live Session (Fall 2025)

Advanced Markdown

Advanced YAML and Code Chunk Options

Making Your Reports Shine: Word Edition

Making Your Reports Shine: PDF Edition

Making Your Reports Shine: HTML Edition

Publishing Your Work

Quarto Extensions

Parameterized Reporting, Part 1

Parameterized Reporting, Part 2

Parameterized Reporting, Part 3

Week 12 Coworking Session (Fall 2025)

Week 12 Live Session (Fall 2025)

R in 3 Months Progress Survey

R in 3 Months Feedback Survey

R in 3 Months Final Project

Week 13 Coworking Session (Fall 2025)

Week 13 Live Session (Fall 2025)

Add citations to Quarto documents

Change titles of facet plots

Difference between == and %in%

Quarto - rendering and working directories

Using Function Arguments

Positron Assistant