Mathematical Sciences 885
Advanced Data Analysis
Instructor: Calvin L. Williams, Ph.D.
Spring 2007 MWF 2:30-3:20
Texts: Applied Stochastic Modeling--Author: B.J.T. Morgan
The statistical community has during the last 10 years experienced a
significant transformation stimulated by the technological
developments in statistical computing environments, theoretical
developments in stochastic based inference and simulation. This course is designed to give
participants insight in the use of modern statistical computing environments, and their impact on how we do
statistics. More specifically how we used these environments to analyze
data and using these analyses to model processes.
This course will suit recent students of MthSc 405/605/805 and can be
considered preparatory for those students interested in advanced
courses in data analysis, namely 882 Monte Carlo Methods.
Statistical Computing Environments
- S-Plus: S PLUS is the premier solution for exploratory data
analysis and statistical data mining.
At the core of S-PLUS is the ``S" language developed at Lucent
Technologies.S is available from the MathSoft Corporation.
Availability: Mathematical Sciences.
- R: R is available as Free Software under the
terms of the Free Software Foundation's
GNU General Public License in source code form. It compiles and runs out
of the box on a wide variety of UNIX platforms and similar systems (including
FreeBSD and Linux).
It also compiles and runs on Windows 9x/NT/2000 (for which it can
also be obtained as pre-compiled binary).
- SAS: Availability: University-wide
MthSc885 Class Datasets:
MthSc885 R (S-Plus) Code:
R (S-Plus) Code
MthSc885 Some SAS Code:
Calvin L. Williams,
Mathematical Sciences-Clemson University,
January 11, 2007
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