Inline R Code
This lesson is called Inline R Code, part of the R in 3 Months (Fall 2022) course. This lesson is called Inline R Code, part of the R in 3 Months (Fall 2022) course.
Transcript
Click on the transcript to go to that point in the video. Please note that transcripts are auto generated and may contain minor inaccuracies.
Your Turn
Add a line to your report that uses inline R code
Learn More
To learn more about inline R code, check out lesson 4 of the RMarkdown series on the RStudio website as well as Chapter 6 of Nick Tierney's book titled RMarkdown for Scientists.
I use a few functions in this lessons you may not be familiar with. Here are links to the documentation for pull() and unique(). I also use Sys.Date() , which returns the current date in the format YYYY-MM-DD. If you want nicely formatted dates (e.g. May 22, 2020), check out the add_readable_time() function from the blastula package.
Have any questions? Put them below and we will help you out!
Course Content
142 Lessons
1
Welcome to Getting Started with R
00:57
2
Install R
02:05
3
Install RStudio
02:14
4
Projects
07:54
5
Files in R
04:33
6
Packages
02:38
7
Import Data
05:24
8
Objects and Functions
03:16
9
Examine our Data
12:50
10
Import Our Data Again
07:11
11
Getting Help
07:46
12
Wrapping Up
13
R in 3 Months Fall 2022 - Introductions thread!
14
R in 3 Months Fall 2022 Week 1 Live Session
59:22
1
Getting Started
03:01
2
The Tidyverse
12:11
3
select
05:48
4
mutate
04:08
5
filter
10:26
6
summarize
03:20
7
group_by
02:56
8
count
02:06
9
arrange
03:58
10
Create a New Data Frame
02:42
11
Crosstabs
06:58
12
Wrapping Up
13
R in 3 Months Fall 2022 Week 3 Project Assignment
02:33
14
R in 3 Months Fall 2022 Week 3 Drop-in Session
1:03:00
15
R in 3 Months Fall 2022 Week 3 Live Session
1:01:42
1
An Important Workflow Tip
05:00
2
The Grammar of Graphics
06:08
3
Scatterplots
05:15
4
Histograms
02:31
5
Bar Charts
06:32
6
color and fill
03:58
7
scales
09:14
8
Text and Labels
08:04
9
Plot Labels
06:06
10
Themes
03:56
11
Facets
05:57
12
Save Plots
05:17
13
Wrapping Up
14
You Did It!
15
R in 3 Months Fall 2022 Week 4 Project Assignment
04:32
16
R in 3 Months Fall 2022 Week 4 Drop-in Session
1:02:15
17
R in 3 Months Fall 2022 Week 4 Live Session
1:00:17
1
Welcome, Logistics, Course Materials, and Additional Resources
2
What is Git? What is GitHub?
02:23
3
Why Should You Learn to Use Git and GitHub?
03:04
4
Update Everything
07:34
5
Install Git
04:04
6
Configure Git
02:10
7
Create a Local Git Repository
03:16
8
Commits
06:00
9
Commit History
04:28
10
GitHub Repositories
04:47
11
Connect RStudio and GitHub
05:06
12
Push an RStudio Project to a GitHub Repository
02:57
13
Pull a GitHub Repository to an RStudio Project
02:52
14
Keep RStudio and GitHub in Sync
02:27
15
R in 3 Months Fall 2022 Week 6 Project Assignment
07:55
16
R in 3 Months Fall 2022 Week 6 Drop-in Session
17
R in 3 Months Fall 2022 Week 6 Live Session
1:02:01
1
Overview
2
Importing Data
15:45
3
Tidy Data
08:11
4
Reshaping Data
10:18
5
Dealing with Missing Data
04:56
6
Changing Variable Types
05:30
7
Advanced Variable Creation
19:26
8
Advanced Summarizing
10:00
9
Binding Data Frames
06:50
10
R in 3 Months Fall 2022 Week 7 Drop-in Session
1:06:06
11
R in 3 Months Fall 2022 Week 7 Live Session
1:01:49
1
Data Visualization Best Practices
04:51
2
Tidy Data
04:01
3
Pipe Data Into ggplot
04:50
4
Reorder Plots to Highlight Findings
06:09
5
Line Charts
04:10
6
Use Color to Highlight Findings
08:25
7
Declutter
10:47
8
Use the scales Package for Nicely Formatted Values
03:42
9
Use Direct Labeling
11:43
10
R in 3 Months Fall 2022 Week 9 Project Assignment
11
R in 3 Months Fall 2022 Week 9 Drop-in Session
22:04
12
R in 3 Months Fall 2022 Week 9 Live Session
1:02:50
1
Use Axis Text Wisely
03:15
2
Use Titles to Highlight Findings
03:33
3
Use Color in Titles to Highlight Findings
03:51
4
Use Annotations to Explain
04:52
5
Tweak Spacing
05:11
6
Customize Your Theme
02:48
7
Customize Your Fonts
08:18
8
Try New Plot Types
11:50
9
R in 3 Months Fall 2022 Week 11 Project Assignment
03:23
10
R in 3 Months Fall 2022 Week 11 Drop-in Session
11
R in 3 Months Fall 2022 Week 11 Live Session
57:28
1
Advanced Markdown Text Formatting
10:52
2
Tables
19:33
3
Advanced YAML
11:49
4
Inline R Code
06:57
5
Making Your Reports Shine: Word Edition
06:53
6
Making Your Reports Shine: HTML Edition
06:32
7
Making Your Reports Shine: PDF Edition
08:21
8
Presentations
04:21
9
Dashboards
06:28
10
Other Formats
04:57
11
You Did It!
12
R in 3 Months Fall 2022 Week 12 Drop-in Session
13
R in 3 Months Fall 2022 Week 12 Live Session
1:04:50
1
All R in 3 Months Fall 2022 Videos
2
Reading documentation pages
05:20
3
Working with file paths and RStudio Projects
05:37
4
Styling RMarkdown docs
5
Structuring large projects (and dealing with slow knitting of Rmd files)
03:47
6
Quarto vs RMarkdown
02:56
7
How to get lesson and lecture slides
03:15
8
{lubridate} for working with dates and times
07:28
9
Statistical Tests
10:17
You need to be signed-in to comment on this post. Login.