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Introduction to R
Dates: Begins July 10th 2015

Aim of the Course: This three-week course will provide an easy introduction to R and its use in statistics and in organizing data. Once you've completed this course you'll be able to enter, save, retrieve, summarize, display and analyze data, run simulations, construct confidence intervals and test hypotheses using R.

Who Should Take This Course: Anyone who encounters statistics in their work and wishes to program their own procedures in a convenient, widely-used, open-source (free) language.

Instructor: Dr. Phillip Good, former Calloway Professor of Computer Science at the University of Georgia (Fort Valley) and graduate of the program in mathematical statistics at UC Berkeley, is the author of Introduction to Statistics via Resampling Methods and R (2nd ed, Wiley, 2013), Common Errors in Statistics (and How to Avoid Them) (4th edition, Wiley, 2012 with James Hardin), Resampling Methods (Birkhauser, 2nd ed, 2005), Permutation, Parametric, and Bootstrap Tests of Hypotheses (Springer, 3rd ed, 2004), Manager's Guide to Design and Conduct of Clinical Trials (Wiley, 2nd ed. 2005), The A-Z of Error-Free Research Using R (CRC, 2012), and Applying Statistics in the Courtroom (CRC, 2001). He has given tutorials at the Joint Statistical Meetings (U.S.) and Deming Conference, lectured in Australia, Belgium, Bulgaria, France, Holland, Ireland, Slovenia, and Spain, and was twice a traveling lecturer for the American Statistical Association. This is his eighth (8th) year of providing on-line interactive courses. 

Prerequisite: You should have familiarity with basic statistical concepts. If not, we highly recommend our course Statistics through Examples. Prior use of some computer language is helpful, but our interactive bulletin board plus supplementary material guide even the novice to successful mastery of R.

Organization of the Course: The course takes place over the Internet. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given an alias and access to a private bulletin board that serves as a forum for discussion of ideas, problem solving, and interaction with the instructor. The course is scheduled to take place over three weeks, and should require no more than ten hours per week. At the beginning of each week, participants receive the relevant material, in addition to answers to exercises from the previous session. During the week, participants are expected to go over the course materials and work through exercises. Discussion among participants is encouraged. The instructor will provide answers and comments.

Course Requirements: The optional text is Introduction to Statistics Through Resampling Methods and R (2nd ed, Wiley, 2013), by Dr. Good. Or you may want to order A-Z of Error-Free Research from us. The previous links allows you to order the text directly. Wiley typically offers a 15% discount to customers during checkout time. PLEASE ORDER YOUR COPY IN TIME FOR THE COURSE STARTING DATE. Also, you must have a copy of R for the course. Click Here to download a free copy of R for use during the course and afterward.

Course Program: The course is structured as follows

SESSION 1: Basic Concepts

  • Downloading and Installing R
  • Entering, Saving, and Retrieving Data
  • Arithmetic Operations and Summary Statistics
  • Character Variables and Frames
  • Simple Graphics
SESSION 2: Selecting Data Elements
  • Generating Artificial Data
  • Selecting Random Samples
  • Loops and the Bootstrap
  • If ... Then
  • Getting Help
SESSION 3: Testing Hypotheses
  • Testing Hypotheses
  • Expanding R's capabilities
  •       Downloading, installing, and Using R Libraries
  •       Building Your Own R Functions

Cost: The full cost of this three-week interactive on-line course is only $199.  $35 discount for students, faculty and research workers at academic institutions. Send email from your institution's email account to to request discount coupon code.

Immediately after your payment is credited, you will receive an email giving you a password, sign up instructions, and the web address (URL) of the course material.  Note that you will not be able to access this address until the start date of the course. Inc. (Ohio, USA) is an authorized retailer for goods and services provided by  Refund Policy: Up until one-week prior to the start of a course, a refund of the fee paid less $45 will be provided on request.  Although there are no refunds after that date, participants may enroll without charge the next time the course is offered.