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An Introduction to the Lattice Package

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A Beginner’s Guide to R

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Notes

  1. 1.

    A biplot is a tool to visualise the results of multivariate techniques such as principal component analysis, correspondence analysis, redundancy analysis, or canonical correspondence analysis. Using specific rules in the PCA biplot, correlations (or covariances) among the original variables, relationships among observations, and relationships between observations and variables can be inferred. There are various ways to scale the biplot, and the interpretation of the biplot depends on this scaling.

  2. 2.

    In Chapter 2 we provided an explanation for Wingcrd, Tarsus, Head, and Wt. Culmen measures the length of the top of the bill from the tip to where feathering starts, and Nalospi the distance from the bill top to the nostril.

Author information

Authors and Affiliations

  1. Highland Statistics Ltd., 6 Laverock Road, Newburgh, UK, AB41 6FN

    Alain F. Zuur & Elena N. Ieno

  2. IMARES, Institute for Marine Resources & Ecosystem Studies, 1797 SH ’t Horntje, The Netherlands

    Erik H. W. G. Meesters

Authors
  1. Alain F. Zuur
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  2. Elena N. Ieno
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  3. Erik H. W. G. Meesters
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Corresponding author

Correspondence to Alain F. Zuur .

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© 2009 Springer Science+Business Media, LLC

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Zuur, A.F., Ieno, E.N., Meesters, E.H.W.G. (2009). An Introduction to the Lattice Package. In: A Beginner’s Guide to R. Use R!. Springer, New York, NY. https://doi.org/10.1007/978-0-387-93837-0_8

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