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Introduction to R (TRA71)

Revolution Analytics, Inc.

Monday, April 28, 2014 at 9:00 AM - Tuesday, April 29, 2014 at 5:00 PM (CDT)

Introduction to R (TRA71)

Ticket Information

Ticket Type Sales End Price Fee Quantity
General Admission Ended $1,500.00 $9.95
Academic Ended $1,000.00 $9.95

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Event Details

This course provides users new to R an overview of the R language. We cover the basics of R programming, data manipulation, graphics, and data analysis. The course also reviews technical aspects of R installations, as well as key efficiency concepts to optimize R programs. It is a hands-on course filled with real data and examples, case studies, and in-class mini projects. 2 days.


1)     Overview and Introduction to R

a)     The R computing environment

b)     R interface, session, and language overview


2)     Data Manipulation in R

a)     Basic data types and operations

b)     Data Frames

c)     Importing, saving, exporting, and re-using data

d)     Common R functions for numbers, factors, text, and dates

e)     Vector-oriented computation

f)      Sorting, ranking, and printing


3)     R Programming Constructs

a)     Loops and conditions

b)     Object-oriented overview of R programming – lists and classes

c)     Programming efficiently in R


4)     Exploratory Data Analysis

a)     Basic data summary functions

b)     Tables and cross-tabulations


5)     Graphics in R

a)     Basic plots and charts

b)     Additional plotting functions

c)     Modifying plots, labels, titles, and advanced customization

d)     Trellis graphics

e)     Saving graphics and graphic formats


6)     Statistics and Modeling in R

a)     Overview

b)     Basic statistical tests, power, and sample size functions

c)     Regression and analysis of variance

d)     Basic data mining functions


7)     Extending R and Additional Topics

a)     Function structures and writing your own functions

b)     Adding libraries and CRAN

c)     Operating system functions

d)     Customizing your R session

e)     R from the command line

f)      Getting help with R




Steve Belcher






We have the right to cancel the event for any reason at any time. Revolution Analytics will refund all monies paid for ticket sales in full in the event of a cancellation.  We are not responsible for any travel related expenses incurred by attendees for this event. This includes but not limited to transportation, hotel accommodations or any other travel related expenses secured by the attendee, due to a cancellation on our part.


Cancellation Policy:

  • 30 or more days from the event date: Full refund less 10%
  • 16-29 days from the event date: 50% refund
  • 15 or less days from the event date: No refund



  • all related transaction fees PayPal and Eventbrite are not refundable
  • discount offers cannot be combined
  • A student ID Number is not a proof of full time university enrollment to get the student’s discount.  Proof of enrollment in 9 units or more on a current academic registration document will be required to receive the student's discount.




Have questions about Introduction to R (TRA71)? Contact Revolution Analytics, Inc.

When & Where

MicroTek - Chicago
230 West Monroe Street
Suite 550
Chicago, IL 60606

Monday, April 28, 2014 at 9:00 AM - Tuesday, April 29, 2014 at 5:00 PM (CDT)

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Introduction to R (TRA71)
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