Resources

Additional Resources

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Need to review?

• RStudio & Reproducibility Cheatsheet
• Basic R & Data Input/Output Cheatsheet
• Data Subsetting Cheatsheet
• Data Summarization & Data Classes Cheatsheet
• Data Cleaning Cheatsheet
• Data Manipulation & Data Visualization esquisse Cheatsheet
• Data Visualization ggplot2 & Factors Cheatsheet
• Statistics Cheatsheet
• 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.

Want background reading?

• Lawlor et al. 2022: Ten simple rules for teaching yourself R

Need help?

• Various RStudio “Cheatsheets”
  
• R reference card
• R jargon
  
• R terminology
• What is the Tidyverse?
• Video on data import
• Animations of join functions: full-join() inner_join() left-join() right-join()
• video for PC users who want to see how to move files around (especially from downloads)
• video for Mac users who want to see how to move files around (especially from downloads)
• Extra information about file paths
• ggplot2 gallery - See what is possible with ggplot2 to create graphs in R
• Visualization best practices
• ggplot2 theme cheatsheet
• Guide on when to use which plot
• Guide on when to use quotes or backticks
• Guide on when to use what stats test
• Modeling 101
• Interpreting GLM output (e.g., deviance)

Want more?

• Tidyverse Skills for Data Science Book (a great next step to learn 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 - a great next step for learning more about stats and wrangling!)
• Dataquest (general interactive resource)
• Quick R Guide (nice free general resource)
• Building up a ggplot2 figure (guide to making plots)
• Content for similar topics as this workshop can also be found on this Leanpub course.

Interested in Reproducibility?

Check out Candace Savonen’s courses:

• Introduction
• Advanced

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)

Comparison of Python and R - A helpful blog post about the difference between these two languages.

Interested in Conferences?

• The RStudio/Posit conference has lots of useful workshops!
  

Videos of Online Lectures for our Johns Hopkins course

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From Summer Institute 2022

Day	Link to Video
RStudio and Reproducibility	https://www.youtube.com/watch?v=eCsD0f0q6rY&t=9s
Basic R	https://www.youtube.com/watch?v=2YRgDG3qsho
Data IO	https://www.youtube.com/watch?v=ejnBAdA2N1c
Subsetting Data	https://www.youtube.com/watch?v=GFa6dXAezJg
Data Summarization	https://www.youtube.com/watch?v=kj_69maSANk
Data Classes	https://www.youtube.com/watch?v=zoVciFJieLY&t=21s
Data Cleaning	https://www.youtube.com/watch?v=GhK8xMUBNwg
Data Manipulation	https://www.youtube.com/watch?v=qP73AWUjfAU
Intro to Data Visualization	https://www.youtube.com/watch?v=OCVo6vWrKL4
Data Visualization	https://www.youtube.com/watch?v=9UPlZqOfT_s
Factors	https://www.youtube.com/watch?v=0fE756trEEE
Statistics	https://www.youtube.com/watch?v=jZ5sskAdAJU&t=4s
Functions	https://www.youtube.com/watch?v=dx-85RzN1G0

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