UTC R Data Wrangling Bootcamp, May17-18, 2021

• A laptop is required for this bootcamp. Please do not forget the chargers.
• A ZOOM link and password will be emailed to your registration email.
• Cloud Studio: https://rstudio.cloud/project/2549590

Pre-bootcamp: Install R and Rstudio (YouTube video)

• 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

Quikstart

• Realtime Discussion Etherpad

Day 1

• 9:45am-10:00 Presurvey. R and Rstudio. Download the GitHub repo in Zip File.

• Ask TAs to add TA in their zoom alias. Open up breakout rooms for TAs to help participant trouble-shoot.

• 10am-11am Basic R Coding in RStudio ; Video

  • 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. Video

• 11am-11:10 Break (Group Virtual Photo)

• 11:10- 12:10pm Explore a dataframe of GISAID submission records. Video

• 12:10-1pm Lunch break
  

• 1-2pm Learn R though COVID19 daily cases by counties in USA ; Video

• 2pm-2:10 break

• 2:10-3pm Integrate heterogenous data sets: Analyze Google Mobility and COVID19 cases; Video

Day 2

• 10am-11am Coding in R; Video

  • Molar solution exercise. Video

• 11:am-11:10am, break

• 11:10-12:10 input, output; Video

• lunch break

• 1pm - Simple statistical analysis with 2020 USA Election results; Video

• Anonymous survey

• Please join the linkedIn group for future collaborations, https://www.linkedin.com/groups/12279083/

Please take this anononymous voluntary Post-survey

Free Online Books on R:

If people want to learn R before and after the bootcamps, there are many free online books at

• https://bookdown.org/
• http://ucanalytics.com/blogs/learn-r-12-books-and-online-resources/
• https://emilhvitfeldt.github.io/ISLR-tidymodels-labs/linear-regression.html

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