Statistics With R PHL 2012

Philadelphia, Pennsylvania
Friday, May 04, 2012
Statistics With R PHL 2012
Friday, May 04, 2012 9:00 AM -
Saturday, May 05, 2012 4:00 PM (Eastern Time)

Temple University Center City
1515 Market St.
Philadelphia, Pennsylvania 19102
United States

Map and Directions

Statistics With R

A  2-Day Seminar Taught by Tenko Raykov, Ph.D.


Over the past 25 years, the R package has changed the landscape of statistical analysis and computation. Today R is widely used by researchers in a wide range of disciplines including the social, behavioral and educational sciences, economics, marketing, biomedicine, and statistics itself.  What’s great about R is that it offers a large variety of state-of-the-art analytic and modeling techniques at essentially no cost.

And yet, R is not cost free. There is still the expenditure of time and effort in learning how to use it—and that can be considerable. Statistics With R is designed to get you up and running with R in the minimum amount of time, in the context of teaching and reviewing essential statistical methods.
  
This two-day seminar covers a multitude of introductory and intermediate topics in statistics as well as some advanced topics. It doubles as both a short course in statistics and a course on the use of R for statistical modeling and data analysis. You will learn graphical methods for exploring data, and frequently used statistical tests and their implementation in R.

You’ll also learn how to use R to do regression analysis, analysis of variance, analysis of categorical data, and applications of the generalized linear model (including logistic regression).  In addition to covering the underlying statistical methods, the seminar will focus specifically on the R input commands and the interpretation of the output. 

Participants in the seminar can expect to leave with (a) knowledge of the basic statistical principles of modeling and data analysis and (b) the ability to confidently use R for employing these methods and interpreting the output.

 Who should attend

The course will be beneficial to researchers and students interested in getting to know R and how it can be used with widely employed statistical methods. Those considering switching from other popular statistical analysis software or extending their arsenal of software tools will also find it useful. Above all, the seminar will appeal to those who want to learn how to do statistical analysis with software that does not require a license and is widely employed in essentially all empirical sciences.

There are no real pre-requisites for attending this course. In particular, no prior experience with R (or any other statistical package for that matter) is really necessary, and no prior exposure to applied statistics is needed. Some experience with statistical analysis software and/or an introductory course in statistics would be a plus, but not really essential.

Location, format, materials

The course meets on Friday, May 4, and Saturday, May 5, at Temple University Center City, 1515 Market Street, Philadelphia, PA. Participants receive a bound manual containing detailed lecture notes (with equations and graphics), examples of computer printout, and many other useful features. This book frees participants from the distracting task of note taking.

Registration and lodging

The fee of $795 includes all course materials. A block of guest rooms has been reserved at the Club Quarters Philadelphia. See the Lodging Tab at the top of this page for further details.

Course outline

1. Introduction to the use of R.
2. Descriptive statistical analysis and graphical means of data display.
3. Main distributions used in statistical applications.
4. Testing hypotheses about means and variances, and confidence intervals.
5. Analysis of categorical data – part I: Examining hypotheses about variable association and group distribution identity.
6. Correlation and regression – part I: Examining linear relationships, the simple linear regression model, model fit assessment.
7. Regression – part II: multiple regression and analysis of variance.
8. Analysis of categorical data – part II: Modeling of discrete response variables (generalized linear model framework and applications, incl. logistic regression).

For information about other courses go to www.StatisticalHorizons.com

 

Contact Information

Payment Instructions

  • The fee of $795 covers all course materials.

    If you are paying by check, make the check out to Statistical Horizons LLC and send to

    Statistical Horizons LLC
    530 New Gulph Rd.
    Haverford, PA  19041

    If you want to pay by purchase order, please send a copy of the purchase order to the address above, or to 
    allison@statisticalhorizons.com
    .

    Our Tax ID number is 26-4576270.

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