XploRe: An Interactive Statistical Computing Environment

1. Front Matter

   Pages i-N16

   PDF

2. A Beginner’s Course

   1. Front Matter

      Pages 1-1

      PDF

   2. Un Amuse-Gueule

      • Wolfgang Härdle

      Pages 3-10

   3. An XploRe Tutorial

      • Wolfgang Härdle

      Pages 11-32

   4. The Integrated Working Environment

      • Claudia Gajewski

      Pages 33-59

3. XploRe in Use

   1. Front Matter

      Pages 61-61

      PDF

   2. Graphical Aids for Statistical Data Analysis

      • Sigbert Klinke, Christian Ritter

      Pages 63-75

   3. Density and Regression Smoothing

      • Jianqing Fan, Marlene Müller

      Pages 77-99

   4. Bandwidth Selection in Density Estimation

      • Marco Bianchi

      Pages 101-112

   5. Interactive Graphics for Teaching Simple Statistics

      • Isabel Proença

      Pages 113-140

   6. XClust: Clustering in an Interactive Way

      • Hans-Joachim Mucha

      Pages 141-168

   7. Exploratory Projection Pursuit

      • Sigbert Klinke, Jörg Polzehl

      Pages 169-194

   8. Generalized Linear Models

      • Joseph Hilbe, Berwin A. Turlach

      Pages 195-222

   9. Additive Modeling

      • Thomas Kötter, Berwin A. Turlach

      Pages 223-249

   10. Comparing Parametric and Semiparametric Binary Response Models

       • Isabel Proença, Axel Werwatz

       Pages 251-273

   11. Approximative Methods for Regression Models with Errors in the Covariates

       • Raymond J. Carroll, Helmut Küchenhoff

       Pages 275-285

   12. Nonlinear Time Series Analysis

       • Rong Chen, Christian Hafner

       Pages 287-309

   13. Un Digestif

       • Wolfgang Härdle, Sigbert Klinke

       Pages 311-317

4. Back Matter

   Pages 319-387

   PDF

This book describes an interactive statistical computing environment called 1 XploRe. As the name suggests, support for exploratory statistical analysis is given by a variety of computational tools. XploRe is a matrix-oriented statistical language with a comprehensive set of basic statistical operations that provides highly interactive graphics, as well as a programming environ­ ment for user-written macros; it offers hard-wired smoothing procedures for effective high-dimensional data analysis. Its highly dynamic graphic capa­ bilities make it possible to construct student-level front ends for teaching basic elements of statistics. Hot keys make it an easy-to-use computing environment for statistical analysis. The primary objective of this book is to show how the XploRe system can be used as an effective computing environment for a large number of statistical tasks. The computing tasks we consider range from basic data matrix manipulations to interactive customizing of graphs and dynamic fit­ ting of high-dimensional statistical models. The XploRe language is similar to other statistical languages and offers an interactive help system that can be extended to user-written algorithms. The language is intuitive and read­ ers with access to other systems can, without major difficulty, reproduce the examples presented here and use them as a basis for further investigation.

• Boxplot
• Fitting
• Generalized linear model
• Projection Pursuit
• Time series
• best fit
• cluster analysis
• data analysis

• Institut für Statistik und Ökonometrie, Humboldt-Universität zu Berlin, Berlin, Germany

  Wolfgang Härdle, Sigbert Klinke

• CORE and Institut de Statistique, Université Catholique de Louvain, Louvain-la-Neuve, Belgium

  Sigbert Klinke, Berwin A. Turlach

• Statistics, Centre for Mathematics and Its Applications, The Australian National University, Canberra, Australia

  Berwin A. Turlach

Policies and ethics