SCS Short Courses, Fall 1994

Introduction to SAS for Windows

Instructor:
Peggy Ng
Dates:
Windows Pre-session: October 3 Basics: October 17, 24 Intermediate Topics: October 31, November 7
Time:
MONDAYS 10:00 a.m. - 1:00 p.m.
Location:
Room T107 Steacie Science Library
Enrolment Limit:
30
The Statistical Analysis System (SAS) is a widely used general purpose data analysis program noted for its flexibility and its variety of statistical procedures. SAS runs on many computing platforms, from mainframes to personal computers. This course provides a basic introduction to SAS under the Windows environment.

The course consists of three parts, which may be taken individually or as a whole:

I Windows Pre-session: The pre-session is intended to make the SAS sessions accessible to those without previous experience with Windows on personal computers. Only the bare essentials of Windows will be covered; those familiar with Windows need not attend.

II Basic Introduction: Sessions One and Two provide an overview of SAS and its underlying logic; an explanation of the use of the Display Manager System to run a SAS job; an introduction to the SAS Data step for reading, transforming, and storing data; and a demonstration of how statistical analyses may be performed in SAS Proc (procedure) steps.

III Intermediate Topics: Sessions Three and Four will concentrate on SAS programming techniques to modify data and enhance SAS output. As well, more statistical procedures will be introduced.


Data Analysis and Statistical Graphics Using 'S'

Instructor:
Professor Claudia Czado
Dates:
October 6, 13, 20, 27
Time:
THURSDAYS 4:30 - 7:30 p.m.
Location:
Room S701 Ross Building
Enrolment Limit:
15
The S programming language for statistics and graphics was developed by the Statistics Group at AT&T Bell Labs. Many feel that S is the language of choice for the development of new statistical tools and for interactive analysis of data. A commercial version, S+, is available on Unix workstations and on PCs under Windows. At York, S+ has been installed on the "nexus" Unix system and other UNIX machines within Mathematics and Statistics.

The purpose of this course is to show how to use S in a Unix environment. The course will have both lecture and hands-on components. Participants will receive access to an account for running S+. The four sessions of the course will cover approximately the following material:

I The Unix Environment: Logging in, mail, editing with vi, directory structure, basic file manipulation and introduction to the X-Window environment.

II Basic Use of S: Data input, manipulating data, printing, history mechanism, S arrays and data frames, random number generation, arithmetic operators; functions for manipulating data structures: apply and category; help facilities.

III Programming and Graphics in S: Writing S functions, one- and two-dimensional graphs, interactive graphs.

IV Introduction to the Use of Statistical Functions in S: Regression and regression diagnostics based on the linear-model function, lm().

An Introduction to S and S-Plus by Phil Spector (Duxbury Press, 1994, 286 pages, ISBN 0-534-19866-X, $35.95) is a recommended text and it is available from the York University Bookstore.


Introduction to SPSS for Windows

Instructor:
Mirka Ondrack
Dates:
Windows Pre-session: November 2 Basics: November 9, 16 Intermediate Topics: November 23, 30, December 7
Time:
WEDNESDAYS 1:00 a.m. - 4:30 p.m.
Location:
Room T107 Steacie Science Library
Enrolment Limit:
30
The Statistical Package for the Social Sciences (SPSS) is a very popular data analysis system which has been in use since 1965. Release 4 of SPSS, the latest version of this program, is available at York on the CMS, MVS, and VAX (Orion) systems. Version 4 of SPSS for DOS-based microcomputers and version 6 of SPSS for Windows are also available.

This course consists of three parts, which may be taken individually or as a whole:

I Windows Pre-session: The pre-session is intended to make the SPSS sessions accessible to those without previous experience with Windows on personal computers. Only the bare essentials of Microsoft Windows will be covered.

II Basic Introduction: Session One is an elementary introduction to statistical computer programs, computing concepts, and the essentials of SPSS. At the end of the first session, participants should be able to run very simple programs, including some basic descriptive statistical procedures. Session Two will cover first-session topics in greater detail, concentrating on data definition facilities and various ways of formatting data.

III Intermediate Topics: Sessions Three and Four will introduce data modification, transformations, and functions. Session Five will cover the use of SPSS system files.


Graphical Methods for Categorical Data

Instructor:
Professor Michael Friendly
Dates:
November 9, 16 WEDNESDAYS 1:30 - 4:30 p.m. Room 202 ASB
Enrolment Limit:
30
Statistical methods for categorical data, such as log-linear models and logistic regression, represent discrete analogs of the analysis of variance and regression methods for continuous response variables.

While graphical display techniques are common adjuncts to analysis of variance and regression, methods for plotting contingency table data are not as widely used. Moreover, while statistical methods can be used to determine which variables are related, the numerical summaries and parameter estimates do not provide easy ways to show how those variables are related.

This workshop provides a brief introduction to graphical methods which are useful for understanding the pattern of association among categorical variables. These methods can be helpful for both data exploration and for communicating results to others. Some of the methods described include:

These graphical techniques are illustrated with real data in the form of two-way and multi-way frequency tables.

About the Instructors

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