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Correction to latest ESA Bulletin
(also posted to ecolog)
Greetings ESA members:
There is an error in the latest ESA Bulletin (v. 78, no. 2), concerning
the S-PLUS workshop that I am offering at this year. Below are the
descriptions and times for both workshops. Make a note of these changes,
and expect to see the correct announcements in the registration materials.
Thanks!
Pam Goodman
S-PLUS Instructor
Data Analysis Products Division of MathSoft, Inc.
1700 Westlake Avenue N., Suite 500
Seattle, WA 98109
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S-PLUS as a Tool for Ecological Research and Teaching I (Morning
Workshop)
Description: This half-day (4 hour) workshop is designed to introduce new
users to the basics of using S-PLUS. S-PLUS is an object oriented
statistical programming language with over 1500 built-in functions. With
the "point-and-click" graphics and data analysis feature of S-PLUS 4.0,
S-PLUS can easily be used for laboratory exercises with minimal
programming requirements from the students.
Emphasis of this course is to demonstrate the basic S-PLUS functionality
for use in research and teaching. The course lecture is "example driven";
both instructor examples and practice exercises utilize ecological data
sets. Tentative topics include: importing data into S-PLUS, data objects,
summary statistics, simple graphics, vectorized operations, and usage of
S-PLUS functions and the Graphics-User-Interface (GUI) features of S-PLUS
version 4.0. Tentative ecological topics come from introductory
ecology/ecology for non-majors curricula: population growth curves
(exponential, sigmoidal), estimation of current population growth rate,
and projection of world populations given current growth rate estimates.
Each student will have their own computer for use during the workshop.
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S-PLUS as a Tool for Ecological Research and Teaching II (Afternoon
Workshop)
Description: This half-day (4 hour) workshop is designed to give
experienced users solutions advanced programming problems in S-PLUS.
Students should have a good working knowledge of S-PLUS.
Emphasis of this course is to demonstrate the sophisticated statistical
data analysis tools available. The course lecture is "example driven";
both instructor examples and student exercises utilize ecological data
sets. Tentative topic list: Analysis of unbalanced data, bootstrapping,
trellis graphics, and time permitting, analysis of count data and
present/absence data, and object orientation as a means for automating
analyses. Each student will their own computer for use during the workshop
and breaks will allow time for the students to practise exercises.
Students keep the manuals.
NOTE: These workshops are NOT statistics workshops.