## Session Topics |

General Software Design

**Simulation Environments for Economic Modeling**
*Friedrich Leisch, Andreas Weingessel*

We are part of the center of excellence (short in Austrian: SFB) ``Adaptive
Modelling in Economics and Management Science''. One of the long-term goals
of the SFB is to create a model for an artificial economy, where adaptive
models can be tested. Our group is currently working on a marketing simulation
(using R), another group has a virtual stock market (using matlab) etc.
The current plan is that some of these components will be connected in
the future, e.g., to connect a marketing simulation with a production simulation.
For this artificial economy to work we will need a lot of distributed computing,
because the involved groups use rather heterogenous platforms/software.
Another advantage of distributed sytems is that they are much closer to
reality than a big homogenous simulation.

Download postscript file of slides.

**Redesign of XLispStat**
*Luke Tierney*

An update on the redesign of xlispstat, which is based on designing
a core that can be implemented on top of C or Java and can be used as the
base for xlispstat or R or Omega.

Download postscript file of slides.

**Design of functions and objects**
*Jim Lindsey*

Here are some ideas about topics I could discuss:

1. Developing functions for nonlinear, non-normal, multivariate models.

2. Designing objects for handling unbalanced repeated measurements
allowing for various types of response variables (continuous, categorical,
event history).

Download postscript files of slides:
part 1,
part 2,

**Spreadsheet interfaces for economic applications**
*Erich Neuwirth*

The only ``statistical'' packages economic students or many people
from indusrty know are spreadsheets, hence having good interactions between
spreadsheets and ``real'' statistics software would be beneficient both
in teaching statistics as in many consulting jobs.

Distributed Computing / Omega

**Connected Teaching of Statistics**
*Wolfgang Härdle, Sigbert Klinke*

Statistics is considered to be a difficult science since it requires
a variety of skills including handling of quantitative data, graphical
insights as well as mathematical ability. Yet ever increasing special knowledge
of statistics is demanded since data of increasing complexity and size
need to be understood and analyzed. Although this changing demand on educated
statisticians is visible, our methods of teaching statistics follow essentially
the ideas developed by our grandfathers in the fifties. An attractive and
powerful new way of incorporating today's and future demands is via tools
based on an intra- or the internet. In this article we suggest a set of
criteria for effective web based teaching and propose the first net based
approach to meet these criteria.

Download powerpoint file of slides.

**Future directions for statistical modeling software**
*Doug Bates, John Chambers, Duncan Temple Lang*

Participants in the Omega project and others would like to encourage
discussion about the next generation of software that deals with statistical
models: What new capabilities are important? How can current languages
and tools (e.g., Java) help? In this session, participants are invited
to present ideas and suggestions. There is also a mailing list, omega-models@omegahat.org,
intended to be a forum for similar discussions.

View HTML version of slides.

**(Possibly graphical) user interfaces**
*Anthony Rossini*

I'm interested in talking/discussing a bit about ORCA (a "universal"
graphical front-end for stat packages), and other (possibly graphical)
user interface issues...

**A Graphics library for Omega**
*Balasubramanian Narasimhan*

Architecture, design and implementation of a Graphics library for Omega.
This talk will rely heavily on the new release of Java 1.2.

**Interfaces between existing statistical systems and Java/Omega**
*John Chambers*

There are many ways to design interfaces between statistical systems.
Java provides several attractive possibilities. We have been investigating
interfaces built on the tools in the preliminary Omega language and on
the Java Native Interface. We will discuss the progress to date and possible
further directions.

Download postscript file of slides.

R / S

**Things I think we did right, things I think we did wrong, and things
I'm not sure about.**
*Ross Ihaka*

**Current quirks, an R (and S) wishlist**
*Peter Dalgaard*

Download postscript file of slides.

**R 2do list**
*Kurt Hornik*

**Numerical Accuracy in a Statistics Package: What Precision is Needed
When ?**
*Martin Mächler*

Download postscript file of slides.

**Building GUIs for S-PLUS for Windows vertical applications**
*Brian Ripley*

S-PLUS for Windows already allows a number of GUI connections, within
a Windows-only environment. It has a programmable GUI interface of its
own, and can interact with other Windows applications (such as spreadsheets)
through `DDE' and `Automation'. We are currently building such interfaces
to a cancer prognosis system for use with a laptop in an Oxford hospital.
Hence, the experience gained in the simulation should be useful for devloping
new concepts of information flow (data exchange) and data analysis in real
life.

Download slides:
postcript or
PDF

**Towards an R manual**
*Friedrich Leisch*

**Future of R**

What are our goals for the future, how does this relate to projects
like Omega etc.

Public Talks ("Adaptive Monday")

**Directions for Statistical Systems**
*John Chambers*

Download postscript file of slides.

**Visualization and Pattern Recognition in Complex Datasets**
*Brian Ripley*

**Distributed Computing in the SFB**
*Friedrich Leisch, Andreas Weingessel*

Download PDF file of slides.

Wrap Up Session

**Lexical Scoping with R**

*Robert Gentleman*

**Random Number Generation for Parallel and Threaded Programs**

*Gregory Warnes*

Download slides:
postcript or
PDF

Download C code.

**Interactive Modeling**

*Stephan Lauer*

Download postscript file of slides.

**A Local Estimatio Approach in Multi-Categorical
Varying-Coefficient Models**

*Silke Edlich*

Download postscript file of slides.