CSCAR Workshop: Statistical Analysis with R — May 1, 3

R is a free and open source environment for data analysis and statistical computing.  While R contains many built-in statistical procedures, the most unique feature of R is the facility for users to extend these procedures to suit their own needs.  Excellent graphics are another reason R is gaining wide popularity.

• How to Obtain R
• Help Tools
• Importing / Exporting Data
• Data Management
• Descriptive Statistics
• Multivariate Statistical Analyses (Regression Modeling, ANOVA, etc.)
• Graphics
• Creating Functions

What: CSCAR Workshop: Introduction to Statistical Analysis with R Fees: $347 – U-M Affiliated / $788 – Not U-M Affiliated When: May 1 and May 3 (two sessions), 9 a.m. to 5 p.m. Where: Modern Languages Building 2001A Instructor: Dave Childers Prerequisites: 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 at dchilde@umich.edu with any questions). Class size: 24 Participants (1 per computer) For more information, visit http://cscar.research.umich.edu/workshops/.