Variable Selection
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
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.
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.
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