LISA Statistics Short Course: Basics of R
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.
Summer 2013 Schedule:
Monday, June 10: Structural Equation Modeling (SEM) Using AMOS;
Monday, June 17: Designing Experiments and Collecting Useful Data*;
Monday, June 24 & Tuesday, June 25: Basics of R;
Monday, July 1 & Tuesday, July 2: Statistical Analysis in R;
Monday, July 8 & Tuesday, July 9: Graphing with R;
Monday, July 15: SAS Programming I;
Tuesday, July 16: SAS Programming II;
Monday, July 22: Model selection in R featuring the lasso;
*This course will be held in Fralin Auditorium, all other courses are in 3060 Torgersen Hall.
Monday, June 24 and Tuesday, June 25, 4:00-6:00 pm;
Instructor: Ana Maria Ortega Villa;
Location: 3060 Torgersen Hall;
Title: Basics of R;
R is a powerful, versatile, and free statistical programming language which has become increasingly popular among industrial and academic data analysts. This introductory course covers programming basics in R, including the definition and manipulation of data objects, loops, importing/exporting data, and simple data summaries. These concepts will be illustrated using both the Fisher Iris Data and also the National Longitudinal Mortality Survey. The classic Fisher Iris Data includes 150 records with four measurements on three species of flowers and will be used to illustrate the basic principles listed above. The power of R will then be demonstrated by performing similar operations on the National Longitudinal Mortality Survey, which includes nearly a million records with 38 measurements each. The course format includes lecture and computer laboratory components and attendees will have the opportunity to write, modify, and execute R codes for these data.
This introductory session is part of a three course series which assumes no previous coding experience in R or any other language. The intended audience for this course includes researchers who want to gain basic exposure to R with the ultimate goal of incorporating R into their research programs. More experienced users may wish to skip this course and attend subsequent courses on statistical and graphical techniques using R. A schedule of available LISA short courses may be found here: www.lisa.stat.vt.edu/?q=short_courses.
R can be downloaded here: www.r-project.org
RStudio can be downloaded here: http://rstudio.org/download/desktop
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