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README.md

UTC R data Wrangling Bootcamp, July 29-30, 2019

URL of this site: https://tinyurl.com/UTC-R-camps2019

Linked Group https://www.linkedin.com/groups/12279083/

Quitstart

  • Location: Auditiorium, Multidisplinary Research Building (SimCenter) 701 E MLK Blv, Chattanooga, TN.
  • A laptop is required for this bootcamp. Please do not forget the chargers.
  • For guest wireless access, you need to connect to UTC initially, then they'll connect to portal.utc.edu/registration and, under the "Visiting Guests" section, they'll click the "Get Started" button and, on the next page, they'll click "Continue" under the "Conference Guest" header, on the subsequent page, the'll enter the credentials provided and click "Continue";
  • Realtime Discussion Etherpad
  • Zoom screen cast link. A password will be announced at the bootcamps.

Pre-bootcamp Preparation

  • Install R on your laptops. (R must be installed before RStudio). Please install a recent version of R software from https://cran.r-project.org/ .
  • Install RStudio on your laptops. (RStudio must be installed after R). RStudio is a popular user-friendly editor and environment to run R. Please download a “RStudio Desktop” Open Source Edition from http://www.rstudio.com/products/rstudio/download/, and follow the instruction for installation.

Please complete this voluntary and anonymous pre-survey

Day 1 (July 29)

  • 8am-8:30 Breakfast
  • 8:30-8:45 Presurvey and Logistics: WiFi, GitHub, R and Rstudio. Download the GitHub repo in Zip File.
  • 8:45am-10:15 Learning R and RStudio through a survey on metric proficiency. Basic R code, Markdown file, code block, RStudio interface, Data frame, and basic data visualization and analysis.

Introduction to R and Rstudio with simple exercises.

Day 2, July 30

Please complete this anonymous and voluntary poster-survey if you are only attending the R bootcamp. (If you will attend the EHR bootcamp, please do not take it now. We will ask you take the post survey on Friday).

Free Online Books on R:

If people want to learn R before and after the bootcamps, there are many free online books at http://ucanalytics.com/blogs/learn-r-12-books-and-online-resources/

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