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Statistical Analysis with R

March 4, 2019 @ 8:30 am - 3:00 pm

|Recurring Event (See all)
March 4 & 5, 2019

Modern Languages Building (MLB), Room 2001A

This is a two day workshop (March 4 and 5) 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



March 4, 2019
8:30 am - 3:00 pm
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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
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.