Files in R
This lesson is called Files in R, part of the R in 3 Months (Spring 2025) course. This lesson is called Files in R, part of the R in 3 Months (Spring 2025) 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
Create and save an R script file
Enter a mathematical expression on your R script file and run it
Have any questions? Put them below and we will help you out!
Course Content
127 Lessons
1
Welcome to Getting Started with R
00:57
2
Install R
02:05
3
Install RStudio
02:14
4
Files in R
04:33
5
Projects
07:54
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
Week 1 Live Session (Spring 2025)
1:03:11
1
Welcome to Fundamentals of R
01:36
2
Update Everything
02:45
3
Start a New Project
02:16
4
The Tidyverse
03:34
5
Pipes
04:15
6
select()
07:25
7
mutate()
04:25
8
filter()
10:05
9
summarize()
05:59
10
group_by() and summarize()
05:54
11
arrange()
02:07
12
Create a New Data Frame
03:58
13
Bring it All Together (Data Wrangling)
07:29
14
Week 2 Project Assignment
09:39
15
Week 2 Coworking Session (Spring 2025)
16
Week 2 Live Session (Spring 2025)
1:03:24
1
The Grammar of Graphics
04:39
2
Scatterplots
03:46
3
Histograms
05:47
4
Bar Charts
06:37
5
Setting color and fill Aesthetic Properties
02:39
6
Setting color and fill Scales
05:40
7
Setting x and y Scales
03:09
8
Adding Text to Plots
07:32
9
Plot Labels
03:57
10
Themes
02:19
11
Facets
03:12
12
Save Plots
02:57
13
Bring it All Together (Data Visualization)
06:42
14
Week 3 Project Assignment
03:30
15
Week 3 Coworking Session (Spring 2025)
16
Week 3 Live Session (Spring 2025)
1:02:31
1
Downloading and Importing Data
10:32
2
Overview of Tidy Data
05:50
3
Tidy Data Rule #1: Every Column is a Variable
07:43
4
Tidy Data Rule #3: Every Cell is a Single Value
10:04
5
Tidy Data Rule #2: Every Row is an Observation
04:42
6
Week 6 Coworking Session (Spring 2025)
7
Week 6 Live Session (Spring 2025)
1:02:38
1
Best Practices in Data Visualization
03:44
2
Tidy Data
02:25
3
Pipe Data into ggplot
09:54
4
Reorder Plots to Highlight Findings
03:37
5
Line Charts
04:17
6
Use Color to Highlight Findings
09:16
7
Declutter
08:29
8
Add Descriptive Labels to Your Plots
09:10
9
Use Titles to Highlight Findings
08:14
10
Use Annotations to Explain
07:09
11
Week 9 Coworking Session (Spring 2025)
12
Week 9 Live Session (Spring 2025)
59:09
1
Advanced Markdown
06:43
2
Tables
18:36
3
Advanced YAML and Code Chunk Options
05:53
4
Inline R Code
04:42
5
Making Your Reports Shine: Word Edition
04:30
6
Making Your Reports Shine: PDF Edition
06:11
7
Making Your Reports Shine: HTML Edition
06:06
8
Presentations
10:12
9
Dashboards
05:38
10
Websites
06:43
11
Publishing Your Work
04:38
12
Quarto Extensions
05:50
13
Parameterized Reporting, Part 1
10:57
14
Parameterized Reporting, Part 2
05:11
15
Parameterized Reporting, Part 3
07:47
16
Week 12 Coworking Session (Spring 2025)
17
Week 12 Live Session (Spring 2025)
57:01
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Douglas Ndowo • March 21, 2024
Does this mean it’s possible to import a ready made code/Rscript file, maybe customize it to fit a particular dataset & operations?… 🤩I’m totally loving this
David Keyes Founder • March 21, 2024
Yes! And this is a major benefit of working in a code-based tool like R.
Tiffany A • April 22, 2024
This "Files in R" and "Projects" portion are not loading
David Keyes Founder • April 22, 2024
Can you explain a bit more what you mean please?
Claire Hazbun • May 14, 2024
Question about file locations. I know it's important to be mindful of where we're saving files when using programs like R. I'm wondering if you have any tips when setting up a system for file management. e.g. is is advantageous to create a folder on your computer for all R script files (and have subfolders like "R files for Getting Started with R" and "R files for Quant Methods 1" etc)? or maybe it makes more sense to have your R script files in the various folders that contain other non-R documents related to each project you're working on? does it matter?
Libby Heeren Coach • May 14, 2024
How you evolve to use files and folders over time will greatly depend on your use cases and who you need to collaborate with, but we strongly advocate for working in RStudio Projects (see the lesson before this one). A project is essentially a folder on your computer that contains a .Rproj file. When you work inside that project in RStudio, you'll have all the files and data you need for that project in one place. This gets easier to understand with time and practice, but let me give you some resources! Also, it's good to note that project folders are a terminus - there should generally not be any more project folders (folders that contain .Rproj files) inside of an RStudio Project folder.
Here is the Projects section in the R for Data Science book: https://r4ds.hadley.nz/workflow-scripts#projects
Here is a blog post I like about how to set up a project folder for beginners. Your choice of what you call folders is up to you, but this gives a good intro and inspiration: https://martinctc.github.io/blog/rstudio-projects-and-working-directories-a-beginner%27s-guide/
As a personal example, I have a folder on my computer called GitHub that contains two folders, Personal and Clients. In my Personal folder, I have all my personal RStudio Project folders, like my website, and fun side projects. In my Client folder, I have a folder for each client, and inside the client folders there are RStudio Project folders.
Judith Pohla • September 21, 2024
After creating an R Script file, is it normal for me to see my personal file from my computer loaded in R Studio?
Gracielle Higino Coach • September 21, 2024
Yes! =D The file management panel in RStudio shows the files in your working directory, and you can navigate them as you do in your file explorer in your computer. You can even move, delete and rename things from there!
gene trevino • December 9, 2024
How / where can I download the data that are being used in these lessons ?
David Keyes Founder • December 10, 2024
The code shown is just sample to show you how R works. Future lessons will give you instructions on what to download.
Mallik Janthak • March 11, 2025
I created and saved the following R script. When I run, it seems to pick only the first line of code. Is that correct? How do I get it to run all lines of the code and display the results?
Gracielle Higino Coach • March 12, 2025
Hi Mallik! It depends on how you run the code.
If your cursor is in one of the lines and you use ctrl (or command) + return, in this case R is going to run the line where the cursor is at.
If you select the whole code and use the same shortcut, R is going to run what's selected.
You can use the buttons on RStudio interface (top right corner of your script panel) to get to the same results. The "Run" button runs the current line; the "source" button runs the whole script.
Let us know if that answers your question!