Evening Session: Intro to R part II

Date: 

Wednesday, April 26, 2017, 6:00pm to 8:00pm

Location: 

Hawes Hall 203, HBS

Get an introduction to R, the open-source system for statistical computation and graphics. With hands-on exercises, learn how to import and manage datasets, create R objects, install and load R packages, conduct basic statistical analyses, and create common graphical displays. This workshop is appropriate for those with little or no prior experience with R.

Topics for Part 2:

  • Working with and inspecting Data Frames
  • Filtering, Transforming, and Summarizing data using dplyr

 

Note that this is a continuation from last week's Intro to R, Part 1. Please sign up for both sessions.

Registration Closed
See also: R