We would like to share these resources with you:
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The recording from the live workshop is a is available on CAC’s YouTube channel.
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The workshop materials are available on GitHub and RStudio cloud. The
.Rmd
files are R notebooks with text explanations for the demos and hands-on portion of the workshop. You can use them with the workshop recordings or as self-paced tutorials.- The “Intro to R” (operators, functions, data types, data structures) is in
20_minutes_to_R.Rmd
- The regression portion is in
data-analysis-xsede-20220526.Rmd
- We included a supplement demo showing how to use a few of the tidyverse packages to inspect a CSV file in
examining_data.Rmd
- The “Intro to R” (operators, functions, data types, data structures) is in
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We prepared some supplemental materials, which are available as PDF files on GitHub:
setup_cloud_demo.pdf
describes how we created and set up the RStudio cloud project we used in the workshop. RStudio Cloud requires minimal setup for workshop participants and can be a good way to start using and evaluating R.resource_sheet.pdf
includes links to resources we mentioned in the talk and a few additional resources (including two free ebooks about R and some examples of how R can be incorporated in teaching).R_for_educators_slides.pdf
is the slides from the workshop.
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The Cornell Virtual Workshop offers free, self-paced lessons covering a range of topics. Our R topic complements the material we covered in the webinar and addresses using R on multiple cores and on supercomputer infrastructure. The CVW R topic is available at https://cvw.cac.cornell.edu/R/