4:00pm
to
6:00pm |
|
LISA Statistics Short Course: Better Data Visualization in R Using the ggplot2 Package
(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 12, 4:00-6:00 pm;
Location: 1100 Torgersen Hall;
Instructor: Daniel Berry and Brandi Jones;
Title: Better Data Visualization in R Using the ggplot2 Package;
Data visualization is a key element of scientific communication. The R programming language comes with a variety of built-in options for data visualization and graphing. Fortunately, R is open source and has many excellent packages available to extend the capabilities of base R. The ggplot2 package offers an alternative to R's built-in plotting system and makes it easy to build elegant, custom plots and graphics. ggplot2 is an implementation (Wickham, 2010) of the "Grammar of Graphics" (Wilkinson 2006) system for building plots through an intuitive series of layers.
Students will begin by replicating base R plots in ggplot2 and quickly progress to making the complex, multi-layered graphics that ggplot2 excels at. This course is designed to provide both faculty and student researchers with a toolbox for building custom, publication quality graphics. The course cannot cover every feature of ggplot2, however, participants will leave with an understanding of ggplot2 syntax and the ability to create their own plots from scratch. Previous experience using R is assumed but no previous experience using ggplot2 is required. Participants will analyze Virginia demographic data at the county level (provided by the US Census) and be able to produce the following two graphics by the end of the course.
www.lisa.stat.vt.edu/sites/default/files/images/2016-04-12-ggplot2-income-vs-poverty.png
ww.lisa.stat.vt.edu/sites/default/files/images/2016-04-12-ggplot2-poverty-levels.png
References:
Wickham, Hadley. "A Layered Grammar of Graphics." Journal of Computational and Graphical Statistics 19.1 (2010): 3-28. Web.
Wilkinson, Leland. The grammar of graphics. Springer Science & Business Media, 2006.
Follow us on Facebook (www.facebook.com/Statistical.collaboration) or Twitter (www.twitter.com/LISA_VT) to be the first to know about LISA events!
More information...
|
540-231-8354