R help - Apr 2011 - LIVE, ONLINE COURSE: Using R Software for Academic Research Analyses

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 ghubona@vcu.edu with any questions or for more
information.



Geoff Hubona

Information Systems Department

Virginia Commonwealth University

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