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Statistical Analysis with R

September 27, 2016 @ 8:30 am - 3:30 pm

|Recurring Event (See all)
September 29

Modern Languages Building (MLB), Room 2001A

This is a two day workshop in R which  is a free and open source environment for data analysis and statistical computing.  While R contains many built-in statistical procedures, a powerful feature of R is the facility for users to extend these procedures to suit their own needs.  Excellent graphing capability is another reason R is gaining wide popularity.

  • How to Obtain R
  • Help Tools
  • Importing / Exporting Data
  • Data Management
  • Descriptive and Exploratory Statistics
  • Common Statistical Analyses (t-test, Regression Modeling, ANOVA, etc.)
  • Graphics
  • Creating Functions

Registration

To register for CSCAR Workshops, call the CSCAR front desk at (734) 764-7828 or come to the office in person with cash or check or a UM department shortcode:

OFFICE HOURS

9:00 a.m. – 5:00 p.m., Monday through Friday
Closed 12pm – 1:00 p.m. every Tuesday for staff meeting.
Voice: (734) 764-7828 (4-STAT from a campus phone)
Fax: (734) 647-2440

ADDRESS

Center for Statistical Consultation and Research (CSCAR)
The University of Michigan
3550 Rackham
915 E. Washington St.
Ann Arbor, MI 48109-1070

Details

Date:
September 27, 2016
Time:
8:30 am - 3:30 pm
Event Category:
Event Tags:
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Other

Prerequisite
A Windows instruction class or equivalent knowledge. Some experience in applied statistical analyses is recommended, but no programming experience is assumed (please email the instructor chrisaa@umich.edu with any questions).
Class size
24 participants, 1 per computer
U-M Affiliated Fee
$347
Not U-M Affiliated Fee
$788
Presenters
Chris Andrews is a statistical consultant at CSCAR and statistician in the UM Department of Ophthalmology and Visual Sciences. Formerly he was Research Assistant Professor at the State University of New York, University at Buffalo. He currently is the lead statistician for the Northeast Region Biostatistics Core of the Women’s Health Initiative and has additional experience as a statistical consultant for Roswell Park Cancer Institute.