PiscesLogoSmallerStill  Methods offered by CAP

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Data set statistics

Species correlations

Data transformations

Changing the data to relative magnitudes

Dealing with zeros

Transposing data

Analysis of Similarity - ANOSIM

Similarity percentages -SIMPER

Discriminant Analysis - Canonical Variate Analysis

Principal Component Analysis- PCA

Non-Metric Multidimensional scaling

Reciprocal Averaging-RA

Detrended Correspondence Analysis-DECORANA

Two-way indicator species analysis-TWINSPAN

Agglomerative cluster analysis

Divisive cluster analysis

Similarity measures

Association analysis


Experimental methods:

Variable Filtering