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RSS Matters
What's New in Spring '02?
By Dr. Rich Herrington,
Research and Statistical Support Consultant
Previous
RSS column
Software Release Announcement: S-Plus
6.0 for Windows
In a previous Benchmarks Online article,
we reviewed the results of beta testing for the as yet
unreleased version of S-Plus. This release of S-Plus
marks the convergence of the version numbering for both
Windows and UNIX platforms, S-Plus version 6.0. The
University of North Texas's licensing agreement with Insightful Corp.
allows distribution of our S-Plus licenses through the
UNT bookstore (trade books). A one year license of
S-Plus 6.0 can be purchased for $25 accompanied by a
signed licensing agreement form available through the
bookstore for all UNT staff, students, and faculty.
Additionally, S-Plus 6.0 is available on SOL (UNT's
research UNIX machine) and is also installed on the ACS
computer lab (located in the
Information Sciences Building - ISB 110); labs in the
College of Arts and Sciences: the GAB computer lab and
the Wooten Hall computer lab. An Open Source freeware
alternative to S-Plus is "R". R, sometimes
called `GNU S', is a freely available language and
environment for statistical computing and graphics which
provides a wide variety of statistical and graphical
techniques: linear and nonlinear modeling, statistical
tests, time series analysis, classification, clustering,
etc. Please consult the R project
homepage for further information.
A Sampling of Internet Resources Available to S-Plus
Users
Books Available on S-Plus
- The New S Language
Richard A. Becker, John M. Chambers, and Allan R.
Wilks
Wadsworth & Brooks/Cole, Pacific Grove, CA
(1988)
- Programming with Data
John M. Chambers
Springer-Verlag, New York, NY (1998)
ISBN 0-387-98503-4
- The Basics of S and S-PLUS (second edition)
Andreas Krause and Melvin Olson
Springer-Verlag, New York (2000)
ISBN 0-387-98961-7
- An Introduction to S and S-PLUS
P. Spector
Duxbury Press, Belmont, CA (1994)
ISBN 0-534-19866-X
- S Programming
W. N. Venables and B. D. Ripley
Springer, New York (2000)
ISBN 0-387-98966-8
- Understanding Statistical Concepts Using
S-PLUS
Randall E. Schumaker, Ph.D.
Lawrence Erlbaum Associates, Mahwah, New Jersey
(2001)
ISBN 0-8058-3623-3
- An
introduction to S-PLUS and the Hmisc and Design
libraries
C.F. Alzola and F.E. Harrell
Freely available document
- Applied Statistics in the Pharmaceutical
Industry
Steven P. Millard & Andreas Krause
Springer (2001)
ISBN 0-387-98814-9
- Robust Diagnostic Regression Analysis
Anthony Atkinson and Marco Riani
Springer (2000)
ISBN 0-387-95017-6
- Applied Smoothing Techniques for Data
Analysis:The Kernel Approach with S-PLUS
Illustrations
Bowman & Azzalini
Claredon Press (1997)
ISBN 0-19-852396-3
- Applied Wavelet Analysis with S-PLUS
Andrew Bruce and Hong-Ye Gao
Springer-Verlag, New York, NY (1996)
ISBN 0-387-94714-0
- S
Poetry
P Burns
Freely available document.
- Statistical Models in S
John Chambers and Trevor Hastie
Chapman and Hall (1992)
ISBN 0-412-05291-1 (hb)
ISBN 0-412-05301-2 (pb)
- Bootstrap Methods and Their Application
A.C. Davison and D.V. Hinkley
Cambridge University Press (1997)
ISBN 0-521-57391-2
- An Introduction to the Bootstrap
Bradley Efron and Robert Tibshirani
Chapman and Hall (1994)
ISBN 0-412-04231-2
- A Handbook of Statistical Analyses Using
S-PLUS
B. Everitt
Chapman and Hall, London (1994)
ISBN 0-412-56310-X
- Analyzing Medical Data Using S-PLUS
(Statistics for Biology and Health)
B. Everitt and S. Rabe-Hesketh
Springer-Verlag (2001)
ISBN 0-387-98862-9
- Smoothing Techniques with Implementation in
S
W. Haerdle
Springer-Verlag, New York (1991)
ISBN 0-387-97367-2
- Generalized Additive Models
T. Hastie and R. Tibshirani
Chapman and Hall (1990)
- Regression Modeling Strategies with
Applications to Linear Models, Logistic
Regression, and Survival Analysis
F.E. Harrell
Springer (2001)
- Statistical Tools for Nonlinear Regression:
A Practical Guide with S-PLUS Examples
S. Huet, A. Bouvier, M.-A. Gruet, and E. Joliet
Springer-Verlag, New York, NY (1996)
ISBN 0-387-94727-2
- S+SpatialStats User's Manual
S.P. Kaluzny, S.C. Vega, T.P. Cardoso, and A.A.
Shelly
Springer-Verlag, New York, NY (1997)
- An Introduction to S-PLUS for Windows
L. Lam
Candiensten, Amsterdam (2001)
ISBN 90-804652-2-4
- Algorithms, Routines and S Functions for
Robust Statistics
A. Marazzi
Wadsworth and Brooks/Cole, Pacific Grove, CA
(1993)
- Statistical Methods for Reliability Data
W. Meeker and L. Escobar
John Wiley & Sons, Inc. (1998)
ISBN 0-471-14328-6
- Applied Statistics in the Pharmaceutical
Industry with case studies using S-PLUS
Steven Millard and Andreas Krause (eds)
Springer-Verlag New York (2001)
ISBN 0-397-98814-9
- Environmental Statistics in S-PLUS
Steven P Millard and Naharaj K Neerchal
CRC Press (2000)
ISBN 0-849-37168-6
- StatConcepts: A visual tour of statistical
ideas
H.J. Newton and J.L.Harvill
Duxbury Press (1997)
ISBN 0-534-26552-9
- Stat Labs: Mathematical Statistics through
Applications
D. Nolan & T.P. Speed
Springer (2000)
ISBN 0-387-98974-0
- Mixed-Effects Models in S and S-PLUS
J.C Pinheiro and D.M. Bates
Springer, New York, NY (2000)
ISBN 0-387-98957-9
- Understanding Statistical Concepts Using
S-PLUS
R. E. Schumacker and A. Akers
Lawrence Erlbaum Assoc (2001)
ISBN 0805836233
- Modern Applied Biostatistical Methods Using
S-PLUS
S. Selvin
Oxford University Press (1998)
ISBN 0-19-512025-6
- Modeling Survival Data
Terry M Therneau and Patricia M Grambsch
Springer, New York, NY (2000)
ISBN 0-387-98784-3
- Modern Applied Statistics with S-PLUS,
Third Edition
William N. Venables and Brian D. Ripley
Springer, New York, NY (1999)
ISBN 0-387-98825-4
- Introduction to Robust Estimation and
Hypothesis Testing
R. Wilcox
Academic Press (1997)
ISBN 0-12-751545-3
- Graphical Methods for Data Analysis
J.M. Chambers, W.S. Cleveland, B. Kleiner, and
P.A. Tukey
Duxbury Press, Belmont, CA (1983)
- Visualizing Data
William S. Cleveland
Hobart Press, Summit, NJ (1993)
ISBN 0-9634884-0-6
- The Elements of Graphing Data
William S. Cleveland
Hobart Press, Summit, NJ (1994)
Eviews license expanded
We have expanded the Eviews
license to unlimited use on campus. Currently, the
Econometric/Time Series forecasting software is installed
on our ACSLab server GAUSS,
which distributes RSS software for campus-wide use. The
software is also available at the CAS labs such as Wooten
Hall 120. If you are interested in using Eviews for your
class, please contact your network manager and our ACS
Student Computing Services Manager Dr. Elizabeth Hinkle-Turner.
Data Entry Helps With Surveys
Let
Data Entry set up your survey with out
Teleform software. Teleform software allows
surveys to be scanned into a PC with a
scanner, verified and then exported to a
database such as Excel or SPSS. This saves
time because the data does not have to be
manually entered. Just bring Data Entry a
rough draft of your survey. We then create
the survey for you using our Teleform
software. If you are interested in doing
this, please call us at 940-565-3887 or
940-565-3894.
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