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Appendix A

Published online by Cambridge University Press:  07 January 2010

Alan H. Fielding
Affiliation:
Manchester Metropolitan University
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Summary

Outline

This is an artificial data set that was created with a known correlation structure. There are 5 variables and 30 cases. The variables fall into two related (correlated groups), hence the effective dimensions of these data are 30 by 2.

The data

Descriptive statistics and relationships between variables

There are two obvious points to draw from these simple summary statistics. Firstly, V2 has a much larger mean than any of the other variables. Secondly, although V4 has a relatively large mean, its standard deviation is small, since most of the other variables have standard deviations that are about 50% of the mean.

There are two major groups of correlated predictors in Figure V2 and Table V4. The first three variables, V1–V3, are quite highly inter-correlated, particularly V2 and V3. V4 and V5 are also correlated. The only other significant relationship is the weak, negative correlation between V1 and V5.

Type
Chapter
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Publisher: Cambridge University Press
Print publication year: 2006

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  • Appendix A
  • Alan H. Fielding, Manchester Metropolitan University
  • Book: Cluster and Classification Techniques for the Biosciences
  • Online publication: 07 January 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511607493.009
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  • Appendix A
  • Alan H. Fielding, Manchester Metropolitan University
  • Book: Cluster and Classification Techniques for the Biosciences
  • Online publication: 07 January 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511607493.009
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Appendix A
  • Alan H. Fielding, Manchester Metropolitan University
  • Book: Cluster and Classification Techniques for the Biosciences
  • Online publication: 07 January 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511607493.009
Available formats
×