The Information Institute (http://www.information-institute.org), a charitable, non-profit, educational and scientific organization, in conjunction with faculty from Virginia Commonwealth University (VCU), is offering live, interactive, synchronous online classes (one AM and one PM to reach all time zones) on the use of R for a variety of academic-research statistical analyses. The registration cost for the 14-hour, 5 week course is $225 (student); $295 (faculty); and $325 (practitioner).

The informational (and registration) site for the AM version (AM by US Eastern Time) is here: https://www.regonline.com/R-asa-apr-sat-AM This course runs on five consecutive Saturdays from April 23 to May 21, from 11AM until 2PM ET.

The informational (and registration) site for the PM version (PM by US Eastern Time) is here: https://www.regonline.com/R-inf-inst-apr  This course runs on five consecutive Saturdays from April 23 to May 21, in the evening from 6PM until 9PM ET.

The R Project for Statistical Computing provides a comprehensive environment for statistical analysis and graphics and is unrivaled in the availability of new, cutting-edge applications. R is a very powerful system for statistical computations and graphics, and runs on Windows, UNIX and Mac computers. It may be described as a combination of a statistics platform and a programming language. It is freely available for download from http://www.r-project.org/ .

We designed this course specifically for researchers and statistical workers who want to learn a powerful new software platform for conducting a variety of essential academic research statistical analyses, including: (1) the statistical graphical displays available in R; (2) simple inference; (3) analysis of variance; (4) simple and multiple regression; (5) logistic regression; (6) analyzing longitudinal data; and (7) simultaneous inference and multiple comparisons.

This course illustrates how to use R for common, research-oriented statistical analyses using generic data which is provided with or without the (optional) textbook. We will also use R Commander, the freely-available, menu-driven, statistics-oriented visual interface to R to illustrate how to utilize the various statistical functions.

This live, interactive, synchronous online course  is conducted in four separate, weekly 3-hour sessions. There is also a pre-class session  to ensure that everyone has installed R and R Commander without problems. All classes are recorded and provided to participants so, if you miss a class, you will have the recording.

Feel free to email [log in to unmask] with any questions or for more information.

Geoff Hubona

Information Systems Department

Virginia Commonwealth University