XploRe: An Interactive Statistical Computing Environment

  • Wolfgang Härdle
  • Sigbert Klinke
  • Berwin A. Turlach

Part of the Statistics and Computing book series (SCO)

Table of contents

  1. Front Matter
    Pages i-N16
  2. A Beginner’s Course

    1. Front Matter
      Pages 1-1
    2. Wolfgang Härdle
      Pages 3-10
    3. Wolfgang Härdle
      Pages 11-32
    4. Claudia Gajewski
      Pages 33-59
  3. XploRe in Use

    1. Front Matter
      Pages 61-61
    2. Sigbert Klinke, Christian Ritter
      Pages 63-75
    3. Jianqing Fan, Marlene Müller
      Pages 77-99
    4. Marco Bianchi
      Pages 101-112
    5. Hans-Joachim Mucha
      Pages 141-168
    6. Sigbert Klinke, Jörg Polzehl
      Pages 169-194
    7. Joseph Hilbe, Berwin A. Turlach
      Pages 195-222
    8. Thomas Kötter, Berwin A. Turlach
      Pages 223-249
    9. Isabel Proença, Axel Werwatz
      Pages 251-273
    10. Raymond J. Carroll, Helmut Küchenhoff
      Pages 275-285
    11. Rong Chen, Christian Hafner
      Pages 287-309
    12. Wolfgang Härdle, Sigbert Klinke
      Pages 311-317
  4. Back Matter
    Pages 319-387

About this book

Introduction

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.

Keywords

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

Authors and affiliations

  • Wolfgang Härdle
    • 1
  • Sigbert Klinke
    • 2
    • 1
  • Berwin A. Turlach
    • 2
    • 3
  1. 1.Institut für Statistik und ÖkonometrieHumboldt-Universität zu BerlinBerlinGermany
  2. 2.CORE and Institut de StatistiqueUniversité Catholique de LouvainLouvain-la-NeuveBelgium
  3. 3.Statistics, Centre for Mathematics and Its ApplicationsThe Australian National UniversityCanberraAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-4214-7
  • Copyright Information Springer-Verlag New York 1995
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-8699-8
  • Online ISBN 978-1-4612-4214-7
  • Series Print ISSN 1431-8784
  • About this book