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LISA Statistics Short Course: Statistical Analysis Using R
(Research)
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.
Spring 2016 Schedule:
Tuesday, March 15, 4:00-6:00 pm: Comparing Means and Other Measures of Location between Two Populations by Significance Tests and Effect Size;
Tuesday, March 22, 4:00-6:00 pm: Data Analytics - Classification;
Tuesday, March 29, 4:00-6:00 pm: Basics of R;
Tuesday, April 5, 4:00-6:00 pm: Statistical Analysis Using R;
Tuesday, April 12, 4:00-6:00 pm: Better Data Visualization in R Using the ggplot2 Package;
Tuesday, April 19, 4:00-6:00 pm: Introduction to Web Scraping in R;
Tuesday, April 26, 4:00-6:00 pm: Introduction to Multivariate Analysis of Variance (MANOVA) in JMP;
Tuesday, April 5, 4:00-6:00 pm;
Location: 1100 Torgersen Hall;
Instructor: Jiangeng Huang;
Title: Statistical Analysis Using R;
R is a free computing and graphical environment for statistical analysis. This short course is designed to provide a basic sense of doing statistical analysis using R. This course starts with a short introduction to R. Then, this course introduces some basics in exploratory data analysis. Two examples of statistical analysis with R is illustrated, one for simple linear regression and the other for ANOVA. Topics covered include Exploratory Data Analysis, Simple Linear Regression, and Analysis of Variance.
Course Structure:
1. A Short Introduction to R
2. Some Basics in Exploratory Data Analysis using R
3. One Example of Simple Linear Regression
4. One Example of Analysis of Variance
This class is the second in a three-course series that assumes no previous coding experience in R or any other language. Experience using R or attending Part I of this series is suggested but not required for this course. The intended audience for this course includes researchers who want to gain basic exposure to statistical analysis in R with the ultimate goal of incorporating R into their research programs.
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More information...
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540-231-8354