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Using R Software for Statistical Research Analyses

  • 1.  Using R Software for Statistical Research Analyses

    Posted 04-17-2011 19:25

    LAST  NOTICE – ONLINE  COURSES  BEGIN  SATURDAY  APRIL  23

     

    The non-profit Information Institute (http://www.information-institute.org) 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 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 (GMT-4).

     

    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 the same five consecutive Saturdays (April 23 to May 21), in the evening from 6PM until 9PM ET (GMT-4).

     

    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