Additional Resources
Need to review?
- Day 1 - RStudio & Reproducibility Cheatsheet
- Day 2 - Basic R & Data Input/Output Cheatsheet
- Day 3 - Data Subsetting Cheatsheet
- Day 4 - Data Summarization & Data Classes Cheatsheet
- Day 5 - Data Cleaning Cheatsheet
- Day 6 - Data Manipulation & Data Visualization
esquisse
Cheatsheet - Day 7 - Data Visualization
ggplot2
& Factors Cheatsheet - Day 8 - Statistics Cheatsheet
- Day 9 - Functions Cheatsheet
If you need to check what packages are part of the tidyverse
, you can do so at this link.
RStudio shortcuts can be found here.
Extra information about file paths can be found here.
Need help?
Animations of join functions:
full-join()
inner_join()
left-join()
right-join()
PC users who want to see how to move files around (especially from downloads), check out this video: https://youtu.be/we6vwB7DsNU
Mac users who want to see how to move files around (especially from downloads), check out this video: https://www.youtube.com/watch?v=Ao9e0cDzMrE
Want more?
Tidyverse Skills for Data Science Book
(more about the tidyverse, some modeling, and machine learning)Tidyverse Skills for Data Science Course
(same content with quizzes, can get certificate with $)R for Data Science
(great general information)R basics chapter of Introduction to Data Science by Rafael A. Irizarry (great general information)
Open Case Studies
(resource for specific public health cases with statistical implementation and interpretation)Dataquest
(general interactive resource)Quick R Guide
(nice free general resource)Building up a
ggplot2
figure
(guide to making plots)
Interested in Reproducibility?
Check out Candace’s courses:
R for Stata, SPSS, and SAS files
- The Haven package
(This package is super useful for reading and writing files so that they are compatible across Stata, SPSS, SAS, and R) - R vs Stata
(See page 505)
Videos of Previous Online Lectures
From Winter Institute 2022
Day | Link to Video |
---|---|
RStudio | https://youtu.be/zpAQrglIJb0 |
Basic R | https://youtu.be/_8ZG0G1nNlA |
Reproducibility | https://youtu.be/ChFTiZ7Clo4 |
Data IO | https://youtu.be/bnYN7AfYGNM |
Subsetting Data | https://youtu.be/kPU3dl25ox8 |
Data Summarization | https://youtu.be/C_a8bGGdrIA |
Data Classes | https://youtu.be/ZCe30kIJ0Xc |
Data Cleaning | https://youtu.be/siFL49CCsJg |
Data Manipulation | https://youtu.be/7M81XUIY5SE |
Intro to Data Visualization | https://youtu.be/Md46muvSrYE |
Data Visualization | https://youtu.be/YjDT3ZUSiR4 |
Factors | https://youtu.be/Co4l0YhuYSk |
Statistics | https://youtu.be/3nSIN1mu8uw |
Functions | https://youtu.be/XUKJtUYU1Ic |
From Summer Institute 2021
Day | Link to Video |
---|---|
RStudio | https://youtu.be/zpAQrglIJb0 |
Basic R | https://youtu.be/md30mwFJ2_Q |
Data IO | https://youtu.be/6xNyETqIqZU |
Subsetting Data | https://youtu.be/YeBSc2YXr4U |
Data Summarization Part 1 + 2 | https://youtu.be/yL3BGDWtVC4 |
Data Classes | https://youtu.be/zBCvbikMTAc |
Data Cleaning | https://youtu.be/TaREvr5evwk |
Data Manipulation | https://youtu.be/-039V99I-PE |
Reproducibility | https://youtu.be/ui9dJLqtdCs |
Statistics | https://youtu.be/EJwlBoBHoz4 |
Data Visualization | https://youtu.be/ngQX9khx7UQ |
Functions | https://youtu.be/epIujSKgNi4 |
From Winter Institute 2020
Day | Link to Video |
---|---|
RStudio and Data Classes | https://youtu.be/vyIsDnsq5jY |
Subsetting Data | https://youtu.be/mT8lSagYbjM |
Data Summarization Part 1 | https://youtu.be/SZYpzt9zy0g |
Data Classes | https://youtu.be/82zSA1N0mnA |
Data Cleaning | https://youtu.be/G3V2YPaQN34 |
Data Manipulation | https://youtu.be/43MPdw5bf4o |
Statistics 1 | https://youtu.be/Jr4ljyzrr4U |
Statistics 2 | https://youtu.be/ub2BSbK9lMM |
From Summer Institute 2017
Day | Link to Video |
---|---|
Day 1 | https://youtu.be/Xi-wsACc7p0 |
Day 2 | https://youtu.be/u1FQt9Hr8iw |
Day 3 | https://youtu.be/woc7AGJTzZw |
Day 4 | https://youtu.be/RZ7eVIMPIes |
Day 5 | https://youtu.be/e8cFV8wluC0 |