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Introduction to R and R Commander for a variety of academic-research statistical analyses

  • 1.  Introduction to R and R Commander for a variety of academic-research statistical analyses

    Posted 12-17-2010 08:40

    EARLY  REGISTRATION  ENDS  ON  DECEMBER 20  AT 11:59PM

      

    The Center for Corporate Education (CCE), affiliated with 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 for a variety of academic-research statistical analyses. The early registration cost (through December 20) for the 14-hour, 5 week course is $195 (student); $250 (faculty); and $295 (practitioner).

     

    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 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 package and a programming language. It is freely available for download from http://www.r-project.org/ .

     

    This course is designed for researchers who want to be introduced to 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 provided with the HSAUR2 data package which is available 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 (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 ghubona@gmail.com or ghubona@vcu.edu with any questions/issues/etc.

     

    Geoff Hubona

    Affiliate faculty, Information Systems Department

    Virginia Commonwealth University

     

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