Difference between revisions of "July 2015 CVC R-Workshop"
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==[http://www.macalester.edu/hhmi/curricularinnovation/cvc/2015%20CVC%20Workshop%20FINAL%20announce.pdf 5-Day R Workshop]<P>[http://www.smith.edu Smith College], July 13-17, 2015== | ==[http://www.macalester.edu/hhmi/curricularinnovation/cvc/2015%20CVC%20Workshop%20FINAL%20announce.pdf 5-Day R Workshop]<P>[http://www.smith.edu Smith College], July 13-17, 2015== | ||
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I attended a 5-Day R Computation and Visualization Workshop organized at Smith College and presented by several faculty, including Nick Horton (Amherst College), Ben Baumer (Smith College), Dany Kaplan (Macalester College), and Randy Pruim (Calvin College). | I attended a 5-Day R Computation and Visualization Workshop organized at Smith College and presented by several faculty, including Nick Horton (Amherst College), Ben Baumer (Smith College), Dany Kaplan (Macalester College), and Randy Pruim (Calvin College). | ||
Latest revision as of 08:51, 18 July 2015
--D. Thiebaut (talk) 15:31, 17 July 2015 (EDT)
5-Day R WorkshopSmith College, July 13-17, 2015
I attended a 5-Day R Computation and Visualization Workshop organized at Smith College and presented by several faculty, including Nick Horton (Amherst College), Ben Baumer (Smith College), Dany Kaplan (Macalester College), and Randy Pruim (Calvin College).
I worked on a Shiny Application that can be seen here. More information about this application can be found here.
Taken from the CVC 2015 documentation:
The first half of the workshop starts at noon on July 13. This portion of the workshop aims to introduce faculty members to the open source software package, RStudio. These days will serve as an introduction to using R for handling data and graphics and include
- An introduction to the RStudio environment
- A “Doing More with Less Cookbook” for R
- Designing and creating sophisticated graphical data visualizations
- Data wrangling: Manipulating data for graphics and insight
- Preparing documents that include text, static and dynamic graphics, and analysis
The second half of the workshop concludes at noon on July 17. During this time participants will dig in on their own projects -- the “work” part of the workshop. Time will be spent:
- Expanding elements of first half of workshop
- Planning a case study
- Development of case studies (individually or in small groups)
In order to support project development, participants will learn specific skills as needed including topics such as:
- Summarizing data with models
- how to construct plausible models and fit them
- displaying models on graphics
- displaying inferential ideas on graphs
- Basic data scraping skills (how to get data from web sites)
- Connecting to and working with large databases in R
- More advanced data cleaning skills
- Additional programming skills
- resampling and bootstrap methods