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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
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Methods offered by CAP