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LISA Statistics Short Course: Introduction to R, Part III
(Academic)
LISA SHORT COURSES IN STATISTICS
LISA (Virginia Tech's Laboratory for Interdisciplinary Statistical Analysis) is providing a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses is on teaching practical statistical techniques for analyzing or collecting data. See www.lisa.stat.vt.edu/?q=short_courses for instructions on how to REGISTER and to learn more.
Fall 2012 Schedule:
September 11: Designing Experiments and Collecting Useful Data;
September 17 & 18: Using JMP to design experiments and analyze the results;
September 25: Designing Surveys;
October 2: Analyzing Surveys;
October 8: Introduction to R, Part I;
October 9: Introduction to R, Part II;
October 15 & 16: How to make plots to tell the story of your data;
October 29: Structural Equation Modeling;
November 12: Introduction to R, Part III;
*These courses will be held in the GLC, all other courses are in 3060 Torgersen Hall.
Monday, November 12;
Instructors: Liang Shan and Han Li;
Title: Introduction to R, Part III;
Course Information:
R is a free computing and graphical software/environment for statistical analysis. Part III of this short course consists of 3 sections:
- Section 5 introduces the concept of generalized linear models. R will be used for performing logistic regression and Poisson regression.
- Section 6 introduces the concept of categorical data analysis. Topics to be covered include: graphical displays of categorical data, measures of association, and contingency tables analyses.
- Section 7 will cover writing functions in R. Users can write functions in R to carry out operations and return one or more values. Examples of functions will be given and participants will also be given exercises to help with writing their own functions.
Note: experience using R or attending Part I and Part II of this series is suggested but not required for Part III.
R can be downloaded here: http://www.r-project.org/
RStudio can be downloaded here: http://rstudio.org/download/desktop
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540-231-8354