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PRIMER Manual
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Table of contents
1
Overview
2
Introduction
3
Opening, editing and saving data (File, Edit)
4
Factors (and Indicators), identifying sample (and species) groups
5
Highlighting and selection (Select)
6
Pre-treatment options
7
Resemblance: similarities, dissimilarities and distances
8
Clustering methods (CLUSTER, SIMPROF, UNCTREE, kRCLUSTER)
9
Managing the workspace and plotting (Window, File, View, Multi Plot, Plots)
10
Multi-dimensional scaling (Non-metric nMDS, Metric mMDS, Combined MDS)
11
Analysis of Similarity tests (unordered and ordered ANOSIM)
12
Wizards and species analyses (Basic MVA, Coherence plots, Matrix display, SIMPER)
13
General data manipulation (Tools, further Pre-treatment)
14
Analysing environmental variables (Draftsman Plot, PCA)
15
Linking assemblage to environment (BEST, LINKTREE)
16
Further matching of multivariate patterns (RELATE, 2STAGE, BEST + MVDISP)
17
Biodiversity measures and tests (DIVERSE, TAXDTEST)
18
Diversity curves (Geometric Class, Dominance and Species-Accumulation Plots)
19
Bootstrap regions for group means (Bootstrap averages)
20
Index to data sets
21
Acknowledgements
References
View book source
5
Highlighting and selection (Select)
Some
significant
applications are demonstrated in this chapter.
5.1
Example one
5.2
Example two
4
Factors (and Indicators), identifying sample (and species) groups
6
Pre-treatment options
On this page
5
Highlighting and selection (Select)
5.1
Example one
5.2
Example two
View source
Edit this page