[AISWorld] Introduction to R and R Commander for a variety of research statistical analyses

[Geoffrey Hubona]

The Center for Corporate Education (CCE), funded by the School of Business
Foundation at Virginia Commonwealth University (VCU), is offering a
winter-term, non-credit, continuing education, live, interactive,
synchronous online class introducing the use of
R<http://en.wikipedia.org/wiki/R_Statistics> for
a variety of academic-research statistical analyses, including: inference;
ANOVA; simple, multiple and logistic regression; analyzing longitudinal
data; and simultaneous inference and multiple comparisons. The limited time
(through Nov 30), early sign-up cost 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. If you sign up now and your
plans change, we will work to reschedule you (or refund your deposit, less
$25, if that is what you prefer).



The informational (and registration) site for the AM version (in the Eastern
US) is here: https://www.regonline.com/R-vcu-feb-AM



The informational (and registration) site for the PM version (in the Eastern
US) is here: https://www.regonline.com/R-vcu-feb-PM



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.



The number of R users was estimated at 2,000,000 in 2009 (
http://bits.blogs.nytimes.com/2009/01/08/r-you-ready-for-r/). We like to
think of R as ‘open source SAS.’ But R is free and widely supported. It you
crunch numbers for a living and you have not used R, now is a good time to
start.


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. Also, you may switch from AM to PM (or vice versa) as space
allows (although you initially sign up for one or the other). There is also
information available at http://www.pls-seminars.com.



Don’t wait ! Join the ‘R’ revolution ! You will be glad that you did ! And
get an R course completion certificate in the process !



Feel free to email me at ghubona at gmail.com or at ghubona at vcu.edu with any
questions or for more information.



Geoff Hubona

Information Systems Department

Vieginia Commonwealth University

"This post has been determined to be in compliance with AISWorld list serv
policies by the AIS VP of Communications."
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