Multiple factor analysis: Difference between revisions

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Let us considerConsider the case of quantitative variables, that is to say, within the framework of the PCA. An example of data from ecological research provides a useful illustration.
There are, for 72 stations, two types of measurements:
# The abundance-dominance coefficient of 50 plant species (coefficient ranging from 0 = the plant is absent, to 9 = the species covers more than three-quarters of the surface). The whole set of the 50 coefficients defines the floristic profile of a station.