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Notes
- 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.
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.
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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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DOI: https://doi.org/10.1007/978-0-387-93837-0_8
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