LISA Statistics Short Course: Introduction to R
LISA SHORT COURSES IN STATISTICS
LISA (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.
Summer 2011 Schedule:
June 13: What LISA Can Do for You and a Tutorial in T-Tests and ANOVA*;
June 21 & 22: Introduction to R;
June 28 & 29: Linear Regression and Structural Equation Models;
July 5 & 6: Generalized Linear Models;
July 11: Mixed Models and Random Effects*;
*Course to be held in Fralin Auditorium. Other courses will be in 3060 Torgerson Hall
Tuesday, June 21;
Instructor: Sai Wang;
Title: Introduction to R;
This short course consists of 3 sections:
~Section 1 provides introduction to R programming basics, such as data objects in R, loops, import/export datasets, along with examples of data manipulation/cleaning.
~Section 2 discusses the R graphing environment and how to create some basic statistical plots.
~Section 3 introduces how to perform basic statistical analysis in R, such as t-tests, ANOVA and linear regression.
This course will also be taught on 6/22/11.
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