The Center for Corporate Education (CCE), affiliated with the School of
Business Foundation at Virginia Commonwealth University (VCU), is offering
non-credit, continuing education, live, interactive, synchronous online
classes (one AM and one PM) introducing the use of
R<http://en.wikipedia.org/wiki/R_Statistics> for
a variety of academic-research statistical analyses. The cost for the
14-hour, 5 week courses is $225 (student); $295 (faculty); and $350
(practitioner). This course has proven to be popular so please do not wait
if you are interested. There are only 10 seats left in the PM class.



The informational (and registration) site for the AM version (AM by US
Eastern Time) is here: https://www.regonline.com/R-vcu-feb-satAM This course
runs on five consecutive Saturdays from February 12 to March 12, 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-vcu-feb-PM This course
also runs on the same five consecutive Saturdays from February 12 to March
12, but in the evening from 6:30PM until 9:30PM ET.



The R Project for Statistical Computing <http://www.r-project.org/> provides
a comprehensive environment for statistical analysis and graphics and is
unrivaled in the availability of new, cutting-edge applications.
R<http://en.wikipedia.org/wiki/R_Statistics>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 package 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<http://socserv.mcmaster.ca/jfox/Misc/Rcmdr/>,
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 (which has both an AM and
a PM version to reach all time zones) 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 me at [log in to unmask] or at [log in to unmask] with any
questions or for more information.



Geoff Hubona

Information Systems Department

Virginia Commonwealth University

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