The Information Institute (http://www.information-institute.org), a charitable, non-profit, educational and scientific organization, and faculty from Virginia Commonwealth University (VCU), are offering live, interactive, synchronous online classes (one AM and one PM to reach all time zones) introducing the use of R for a variety of academic-research statistical analyses. The early registration cost (through March 25) for the 14-hour, 5 week course is $195 (student); $250 (faculty); and $295 (practitioner). This course is popular so please do not wait if you are interested.
The informational (and registration) site for the AM version (AM by US Eastern Time) is here: https://www.regonline.com/R-inf-inst-apr-AM This course runs on five consecutive Fridays from April 22 to May 20, 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 interactive 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. There is also information available at http://www.pls-seminars.com.
Feel free to email [hidden email] with any questions or for more information.
Geoff Hubona
Information Systems Department
Virginia Commonwealth University
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