Chapter 2. Preparing the Data for Use in R and DAS+R

  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,
  4. Rudolf Dutter M.Sc., Ph.D. senior statistician full professor post-doctoral fellow2

Published Online: 18 APR 2008

DOI: 10.1002/9780470987605.ch2

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) Preparing the Data for Use in R and DAS+R, in Statistical Data Analysis Explained: Applied Environmental Statistics with R, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470987605.ch2

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:

  • special DAS+R file format and applied geochemistry;
  • R and DAS+R data preparation;
  • simple file format;
  • R and DAS+R - required data format;
  • “EXTRACTION” and “METHOD”;
  • SAMPLE IDENTIFIER and COORDINATES;
  • data analysis software;
  • detection limit (DL) problem;
  • analytical procedures and applied geochemistry project;
  • missing value problem approach

Summary

This chapter contains sections titled:

  • Required data format for import into R and DAS+R

  • The detection limit problem

  • Missing values

  • Some “typical” problems encountered when editing a laboratory data report file to a DAS+R file

  • Appending and linking data files

  • Requirements for a geochemical database

  • Summary