Chapter 10. Improving Data Behaviour for Statistical Analysis: Ranking and Transformations

  1. Clemens Reimann M.Sc. in Mineralogy and Petrology, Ph.D. in Geosciences, D.Sc. in Applied Geochemistry lecturer senior geochemist director professor chairman acting vice president associate editor1,
  2. Peter Filzmoser Applied Mathematics visiting professor2,
  3. Robert G. Garrett Mining Geology and Applied Geochemistry Emeritus Scientist3 and
  4. Rudolf Dutter M.Sc., Ph.D. senior statistician full professor post-doctoral fellow2

Published Online: 18 APR 2008

DOI: 10.1002/9780470987605.ch10

Statistical Data Analysis Explained: Applied Environmental Statistics with R

Statistical Data Analysis Explained: Applied Environmental Statistics with R

How to Cite

Reimann, C., Filzmoser, P., Garrett, R. G. and Dutter, R. (2008) Improving Data Behaviour for Statistical Analysis: Ranking and Transformations, in Statistical Data Analysis Explained: Applied Environmental Statistics with R, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470987605.ch10

Author Information

  1. 1

    Geological Survey of Norway, Norway

  2. 2

    Vienna University of Technology, Austria

  3. 3

    Geological Survey of Canada, Canada

Publication History

  1. Published Online: 18 APR 2008
  2. Published Print: 4 APR 2008

ISBN Information

Print ISBN: 9780470985816

Online ISBN: 9780470987605

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Keywords:

  • data transformation and mathematical operation;
  • statistical analysis data behaviour - ranking and transformations;
  • non-linear transformations;
  • Box–Cox transformation and logarithmic transformation;
  • linear transformations;
  • multivariate data analysis dataset;
  • closed number system transformation;
  • additive logratio transformation;
  • isometric and centred logratio transformation

Summary

This chapter contains sections titled:

  • Ranking/sorting

  • Non-linear transformations

  • Linear transformations

  • Preparing a data set for multivariate data analysis

  • Transformations for closed number systems

  • Summary