Using Function Arguments

1

Welcome to R in 3 Months (Spring 2026)

06:47

2

Complete Pre-Survey

00:39

3

Sign up for Discord

01:29

4

How to Organize Your Files in R in 3 Months

07:12

1

Install R

02:22

2

Install Positron

05:46

3

Files in R

03:48

4

Projects

05:06

5

Packages

04:01

6

Import Data

05:30

7

Objects and Functions

03:52

8

Examine Data

04:54

9

Quiz

10

Import Data Again

07:26

11

Getting Help

08:28

12

Week 1 Live Session (Spring 2026)

00:43

1

Welcome to Fundamentals of R

01:20

2

Update Everything

02:26

3

Start a New Project

02:38

4

The Tidyverse

03:24

5

Pipes

03:52

6

select()

04:43

7

mutate()

03:22

8

filter()

10:18

9

Quiz

10

summarize()

05:38

11

Grouped Summaries

04:24

12

arrange()

02:50

13

Create a New Data Frame

03:30

14

Quiz

15

Bring it All Together (Data Wrangling)

07:09

16

Week 2 Project Assignment

13:10

17

Week 2 Coworking Session (Spring 2026)

18

Week 2 Live Session (Spring 2026)

59:16

1

The Grammar of Graphics

04:36

2

Scatterplots

03:40

3

Histograms

04:51

4

Bar Charts

04:53

5

Quiz

6

Setting color and fill Aesthetic Properties

02:43

7

Setting color and fill Scales

05:12

8

Quiz

9

Setting x and y Scales

02:58

10

Adding Text to Plots

05:50

11

Plot Labels

02:59

12

Themes

02:10

13

Facets

02:56

14

Save Plots

02:49

15

Bring it All Together (Data Visualization)

06:14

16

Week 3 Project Assignment

06:02

17

Week 3 Coworking Session (Spring 2026)

18

Week 3 Live Session (Spring 2026)

1:00:46

1

Quarto Overview

06:20

2

YAML

02:30

3

Text

04:48

4

Code Chunks

08:18

5

Tips for Working with Quarto

05:28

6

Quiz

7

Bring It All Together (Quarto)

05:29

8

Week 4 Project Assignment

07:14

9

Week 4 Coworking Session (Spring 2026)

10

Week 4 Live Session (Spring 2026)

1

Catch-up coworking session

2

Week 5 Optional Live Session on AI (Spring 2026)

59:44

1

Downloading and Importing Data

08:13

2

Overview of Tidy Data

05:03

3

Tidy Data Rule #1: Every Column is a Variable

06:26

4

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

09:27

5

Tidy Data Rule #2: Every Row is an Observation

04:05

6

Quiz

7

Week 6 Coworking Session (Spring 2026)

8

Week 6 Live Session (Spring 2026)

59:31

1

Changing Variable Types

05:13

2

Dealing With Missing Data

04:41

3

Advanced Summarizing

07:52

4

Quiz

5

Binding Data Frames

06:56

6

Functions

11:59

7

Quiz

8

Week 7 Coworking Session (Spring 2026)

9

Week 7 Live Session (Spring 2026)

59:14

1

Data Merging

09:24

2

Exporting Data

04:20

3

Bring It All Together (Advanced Data Wrangling)

14:22

4

Week 8 Project Assignment

07:29

5

Week 8 Coworking Session (Spring 2026)

6

Week 8 Live Session (Spring 2026)

58:34

1

Best Practices in Data Visualization

03:38

2

Tidy Data

02:25

3

Pipe Data in ggplot

08:18

4

Reorder Plots to Highlight Findings

03:50

5

Line Charts

04:13

6

Use Color to Highlight Findings

08:23

7

Declutter

07:53

8

Add Descriptive Labels to Your Plots

09:18

9

Use Titles to Highlight Findings

08:30

10

Use Annotations to Explain

06:35

11

Quiz

12

Week 9 Coworking Session (Spring 2026)

13

Week 9 Live Session (Spring 2026)

59:10

1

Week 10 Coworking Session (Spring 2026)

2

Week 10 Live Session (Spring 2026)

59:10

1

Tweak Spacing

05:36

2

Create a Custom Theme

03:20

3

Customize Your Fonts

04:42

4

Try New Plot Types

03:24

5

Quiz

6

Bring it All Together (Advanced Data Visualization)

11:04

7

Week 11 Project Assignment

08:01

8

Week 11 Coworking Session (Spring 2026)

9

Week 11 Live Session (Spring 2026)

1:00:48

1

Advanced Markdown

07:10

2

Tables

15:48

3

Advanced YAML and Code Chunk Options

05:42

4

Inline R Code

03:42

5

Making Your Reports Shine: Word Edition

05:08

6

Making Your Reports Shine: PDF Edition

07:37

7

Making Your Reports Shine: HTML Edition

06:08

8

Presentations

11:12

9

Dashboards

06:20

10

Websites

08:11

11

Publishing Your Work

02:37

12

Quarto Extensions

06:38

13

Parameterized Reporting, Part 1

07:02

14

Parameterized Reporting, Part 2

04:03

15

Parameterized Reporting, Part 3

06:22

16

Quiz

17

Week 12 Coworking Session (Spring 2026)

18

Week 12 Live Session (Spring 2026)

57:26

1

R in 3 Months Feedback Survey

2

R in 3 Months Progress Survey

3

R in 3 Months Final Project

01:42

4

Week 13 Coworking Session (Spring 2026)

5

Week 13 Live Session (Spring 2026)

1:01:16

1

Working with labelled data

05:35

2

Understanding Documentation Pages

05:20

3

Factors in R

11:18

4

Add citations to Quarto documents

10:42

5

Change titles of facet plots

08:16

6

Population pyramid plot

04:24

7

Why use Git - example case

06:13

8

How to access data not on GitHub

13:46

9

Dealing with merge conflicts in GitHub Desktop

03:22

10

Crosstabs

06:58

11

Difference between == and %in%

03:17

12

Quarto - rendering and working directories

13:05

13

Using Function Arguments

13:06