Get access to all lessons in this course.
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Week 1: Getting Started with R
- Welcome to Getting Started with R
- Install R
- Install RStudio
- Projects
- Files in R
- Packages
- Import Data
- Objects and Functions
- Examine our Data
- Import Our Data Again
- Getting Help
- Wrapping Up
- R in 3 Months Spring 2022 Week 1 Live Session
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Week 2: Fundamentals of R (RMarkdown)
- Welcome to Fundamentals of R
- RMarkdown Overview
- YAML
- Text
- Code Chunks
- Wrapping Up
- R in 3 Months Spring 2022 Week 2 Project Assignment
- R in 3 Months Spring 2022 Week 2 Office Hours
- R in 3 Months Spring 2022 Week 2 Live Session
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Week 3: Fundamentals of R (Data Wrangling and Analysis)
- Getting Started
- The Tidyverse
- select
- mutate
- filter
- summarize
- group_by
- count
- arrange
- Create a New Data Frame
- Crosstabs
- Wrapping Up
- R in 3 Months Spring 2022 Week 3 Office Hours
- R in 3 Months Spring 2022 Week 3 Live Session
- R in 3 Months Spring 2022 Week 3 Project Assignment
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Week 4: Fundamentals of R (Data Visualization)
- An Important Workflow Tip
- The Grammar of Graphics
- Scatterplots
- Histograms
- Bar Charts
- color and fill
- scales
- Text and Labels
- Plot Labels
- Themes
- Facets
- Save Plots
- Wrapping Up
- You Did It!
- R in 3 Months Spring 2022 Week 4 Office Hours
- R in 3 Months Spring 2022 Week 4 Live Session
- R in 3 Months Spring 2022 Week 4 Project Assignment
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Week 5: Catch-Up Week
- R in 3 Months Spring 2022 Week 5 Office Hours
- R in 3 Months Spring 2022 Week 5 Project Assignment: ASSIGNMENT AMNESTY
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Week 6: Git + GitHub
- What is Git? What is GitHub?
- Why Should You Learn to Use Git and GitHub?
- Update Everything
- Install Git
- Configure Git
- Create a Local Git Repository
- Commits
- Commit History
- GitHub Repositories
- Connect RStudio and GitHub
- Push an RStudio Project to a GitHub Repository
- Pull a GitHub Repository to an RStudio Project
- Keep RStudio and GitHub in Sync
- R in 3 Months Spring 2022 Week 6 Office Hours
- R in 3 Months Spring 2022 Week 6 Live Session
- R in 3 Months Spring 2022 Week 6 Project Assignment
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Week 7: Going Deeper with R (Advanced Data Wrangling, Part 1)
- Overview
- Importing Data
- Tidy Data
- Reshaping Data
- Dealing with Missing Data
- Changing Variable Types
- Advanced Variable Creation
- Advanced Summarizing
- Binding Data Frames
- R in 3 Months Spring 2022 Week 7 Office Hours
- R in 3 Months Spring 2022 Week 7 Project Assignment
- R in 3 Months Spring 2022 Week 7 Live Session
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Week 8: Going Deeper with R (Advanced Data Wrangling, Part 2)
- Functions
- Merging Data
- Renaming Variables
- Quick Interlude to Reorganize our Code
- Exporting Data
- R in 3 Months Spring 2022 Week 8 Office Hours
- R in 3 Months Spring 2022 Week 8 Live Session
- R in 3 Months Spring 2022 Week 8 Project Assignment
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Week 9: Catch-Up Week
- R in 3 Months Spring 2022 Week 9 Office Hours
- R in 3 Months Spring 2022 Week 9 - Assignment Amnesty
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Week 10: Going Deeper with R (Advanced Data Visualization, Part 1)
- Data Visualization Best Practices
- Tidy Data
- Pipe Data Into ggplot
- Reorder Plots to Highlight Findings
- Line Charts
- Use Color to Highlight Findings
- Declutter
- Use the scales Package for Nicely Formatted Values
- Use Direct Labeling
- R in 3 Months Spring 2022 Week 10 Office Hours
- R in 3 Months Spring 2022 Week 10 Live Session
- R in 3 Months Spring 2022 Week 10 Project Assignment
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Week 11: Going Deeper with R (Advanced Data Visualization, Part 2)
- Use Axis Text Wisely
- Use Titles to Highlight Findings
- Use Color in Titles to Highlight Findings
- Use Annotations to Explain
- Tweak Spacing
- Customize Your Theme
- Customize Your Fonts
- Try New Plot Types
- R in 3 Months Spring 2022 Week 11 Live Session
- R in 3 Months Spring 2022 Week 11 Office Hours
- R in 3 Months Spring 2022 Week 11 Project Assignment
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Week 12: Going Deeper with R (Advanced RMarkdown)
- Advanced Markdown Text Formatting
- Tables
- Advanced YAML
- Inline R Code
- Making Your Reports Shine: Word Edition
- Making Your Reports Shine: HTML Edition
- Making Your Reports Shine: PDF Edition
- Presentations
- Dashboards
- Other Formats
- You Did It!
- R in 3 Months Spring 2022 Week 12 Office Hours
- R in 3 Months Spring 2022 Week 12 Live Session
- R in 3 Months Spring 2022 Week 12 Project Assignment
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Week 13: Final Assignment
- R in 3 Months Spring 2022 Week 13 Office Hours
- R in 3 Months Spring 2022 Week 13 Live Session
- R in 3 Months Spring 2022 Final Project Assignment
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WEEK 14: Retrospective
R in 3 Months (Spring 2022)
Getting Started
This lesson is locked
This lesson is called Getting Started, part of the R in 3 Months (Spring 2022) course. This lesson is called Getting Started, part of the R in 3 Months (Spring 2022) course.
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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.
Learn More
Information about the NHANES is available on the CDC website. Information about the NHANES R package is here.
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Vuk Sekicki
March 17, 2021
https://www.youtube.com/watch?v=GmnN2r5J0YA broken link, just FYI.
Sara Cifuentes
March 30, 2022
Could you explain the meaning of "custom CSS" better, please?
Tatiana Bustos
July 22, 2022
It looks like the video is no longer available.. Is that accurate? Just want to make sure it isn't another link related issue. Thanks !
Nadia Chang
October 6, 2022
If I want to download the package, the link above send you to a page with this information: Package source: NHANES_2.1.0.tar.gz Windows binaries: r-devel: NHANES_2.1.0.zip, r-release: NHANES_2.1.0.zip, r-oldrel: NHANES_2.1.0.zip macOS binaries: r-release (arm64): NHANES_2.1.0.tgz, r-oldrel (arm64): NHANES_2.1.0.tgz, r-release (x86_64): NHANES_2.1.0.tgz, r-oldrel (x86_64): NHANES_2.1.0.tgz
which one should I install (I am using Mac) and what are the binaries options that are there? or should I only: install.packages("nhanes") in the console?
Morgan Garner
March 15, 2023
Hello! I am having a blast working through this course. Especially the NHANES data wrangling section (this is exactly why I wanted to learn R)! I was having trouble creating a new variable based on another preexisting variable, then I realized that some of the variable field names in the NHANES dataset have changed since this tutorial was created. I was able to discover this by using the view() function. I updated the variable name in my code and voila! Simple fix! I'm already using the tools I've learned in this course and feel so accomplished being able to troubleshoot already!! Many thanks to the R for the Rest of Us team!
Oscar Tetteh
March 25, 2023
Please, how can I get the nhanes data.
Andrew Paquin
March 26, 2023
Hi. I am trying to update my packages in R as directed in the video above. I get the following error message (in red): Error in gzfile(file, mode) : cannot open the connection In addition: Warning message: In gzfile(file, mode) : cannot open compressed file 'C:\Users\paquinan\AppData\Local\Temp\RtmpoFAckU/libloc_185_13d200b7.rds', probable reason 'No such file or directory' I have no idea what this means, but it does not look good. What should I do?