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LISA Statistics Short Course: Basics of R
(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.
Spring 2015 Schedule:
Monday & Tuesday, February 16 & 17: Basics of R;*
Monday & Tuesday, February 23 & 24: Graphics in R;*
Tuesday, March 3: Multivariate Analysis in R;
Tuesday, March 17: Designing Experiments;
Monday & Tuesday, March 23 & 24: Using ggplot2 to produce enhanced graphics in R;*
Tuesday, April 7: T-tests & ANOVA;
Tuesday, April 14: Solutions for Broken Linear Models;
*Two sessions to accommodate more attendees.
Tuesday, February 17;
Instructor: Lin Zhang;
Title: Basics of R;
Course Information:
R is a powerful, versatile, and free statistical programming software, which has become increasingly popular for both industrial and academic data analysis. This introductory course covers programming basics in R, including the definition and manipulation of data objects, loops, importing/exporting data, and descriptive summaries of data. These concepts will be illustrated by examples using real data sets: the Home Prices data & the National Longitudinal Mortality Survey data. The Home Prices Data is a random sample of records of resales of homes from the files maintained by the Albuquerque Board of Realtors. The National Longitudinal Mortality Survey data, which includes nearly a million records with 38 measurements each. The course format includes lecture and computer laboratory components. The attendees will have the opportunity to write, modify, and execute R codes for the data set we use in class demonstration.
This introductory session is the first part of a three-course series which assumes no previous coding experience in R or any other language. The potential 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.
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More information...
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540-231-8354