LISA Statistics Short Course: Graphing with 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, July 8 and Tuesday, July 9, 4:00-6:00 pm;
Instructor: Ian Crandell;
Location: 3060 Torgersen Hall;
Title: Graphing with R;
The ability to create professional grade graphics is of key importance for scientific communication. The R programming package offers a powerful, flexible, and free platform which can be used to produce publication-quality graphics. This short course will introduce R techniques to produce several statistical graphs including histograms, bar plots, box plots, scatter plots and 3D contour plots among others. Syntax to control colors, plotting characters, axes, legends, and labels will be covered, and users will learn to write high resolution graphics to the file type of their choice. Two data sets will be used to demonstrate R's graphical capabilities. The National Longitudinal Mortality Survey includes nearly a million records with 38 measurements each. A classic prostate data set (Stamey, et al. 1989) includes 9 clinical measurements on 97 men. The course format includes lecture and computer laboratory components. The lecture component will cover pros and cons of various graphics and approaches, and the computer portion will allow attendees to write, modify, and execute R codes to produce graphics based on these data.
This session is the third entry in 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. 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
Stamey TA, Kabalin JN, McNeal JE, Johnstone IM, Freiha FS, Redwine EA, and Yang N: Prostate specific antigen in the diagnosis and treatment of adenocarcinoma of the prostate. II. Radical prostatectomy treated patients. J Urol.141: 1076-1083, 1989.
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