Event box

Date:
Thursday, April 18, 2019
Time:
1:00pm - 3:00pm
Location:
Young Research Library, West Classroom
Categories:
R (programming language)

Continued introduction to the R programming language syntax, data structures and data science tools. After this workshop learners will be able to: 

  1. Subset, filter and group data
  2. Visualize data 
  3. Organizing your work 

Setup and Configuration

R

R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.

Windows

Video Tutorial

Install R by downloading and running this .exe file from CRAN. Also, please install the RStudio IDE. Note that if you have separate user and admin accounts, you should run the installers as administrator (right-click on .exe file and select "Run as administrator" instead of double-clicking). Otherwise problems may occur later, for example when installing R packages.

macOS

Video Tutorial

Install R by downloading and running this .pkg file from CRAN. Also, please install the RStudio IDE.

Linux

You can download the binary files for your distribution from CRAN. Or you can use your package manager (e.g. for Debian/Ubuntu run sudo apt-get install r-baseand for Fedora run sudo dnf install R). Also, please install the RStudio IDE.

Registration has closed.

Event Organizer

Profile photo of Tim Dennis
Tim Dennis
Kristian Allen
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Data Science Center