Variable Selection

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10

Variable Selection

The Variable Selection option enables you to use either Redundancy Analysis or

Correspondence Analysis to identify the three variables which contribute most to the

variability of the response variables and which should therefore be retained in any of

the multivariate analyses. It also performs a randomization and calculates significance

levels.

See also:

Sample/Species Data

Working Sample/Species Data

Environmental Data

Working Environmental Data

Redundancy Analysis

Correspondence Analysis

When selecting Redundancy or Correspondence analysis from the Variable Selection

menu, you are presented with a dialog from which you can

select the number of iterations to be run. Warning: On a large dataset, selecting 1000

iterations could be somewhat time consuming.

10.1

Sample/Species Data

This grid holds the main data used in the analyses. It comprises either full

quantitative or presence/absence data on the taxa present in the samples.

Copyright 2004  PISCES Conservation Ltd