Canonical Correspondence Analysis

Select menu: Stats | Multivariate Analysis | Canonical Correspondence Analysis

Use this to perform a canonical correspondence analysis. Canonical correspondence analysis (CCA) is the canonical form of correspondence analysis. It is similar to redundancy analysis. However, in CCA, a weighted multiple regression is applied to a transformed data matrix with the fitted values subjected to correspondence analysis.

After you have imported your data, from the menu select
Stats | Multivariate Analysis | Canonical Correspondence Analysis.
Fill in the fields as required then click Run.

You can set additional Options before running the analysis and store the results by clicking Store.

Available data

This lists data structures appropriate to the current input field. It lists variates for use in specifying the response variables, explanatory variables and conditioning variables. Double-click a name to copy it to the current input field or type the name.

Response variables (Y)

Used to enter the names of the variates for the response variables to be analysed. You can transfer multiple selections from Available data by holding the Ctrl key on your keyboard while selecting items, then click to move them all across in one action. If the data are referenced within a pointer you can enter the pointer name directly followed by its elements within squared brackets, e.g. mydata[1,2]

Explanatory variables (X)

Used to enter the names of the variates of factors for the explanatory variables to be analysed. You can transfer multiple selections from Available data by holding the Ctrl key on your keyboard while selecting items, then click to move them all across in one action. If the data are referenced within a pointer you can enter the pointer name directly followed by its elements within squared brackets, e.g. mydata[1,2]

Conditioning variables (Z)

Used to enter the names of the variates or factors containing data for the conditioning variables. When these are supplied partial redundancy analysis will be used where the effect of the these variables is removed before performing the redundancy analysis. You can transfer multiple selections from Available data by holding the Ctrl key on your keyboard while selecting items, then click to move them all across in one action. If the data are referenced within a pointer you can enter the pointer name directly followed by its elements within squared brackets, e.g. mydata[1,2]

Action buttons

Run	Run the analysis.
Cancel	Close the dialog without further changes.
Options	Opens a dialog where additional options and settings can be specified.
Defaults	Resest options to the default settings. Clicking the right mouse on this button produces a shortcut menu where you can choose to set the options using the currently stored defaults or the Genstat default settings.
Biplot	Opens a dialog where you can produce a biplot representations of the results, showing projections of species or site scores onto one or two variables.
Store	Opens a dialog where you can store results from the analysis.

Action Icons

	Pin	Controls whether to keep the dialog open when you click Run. When the pin is down the dialog will remain open, otherwise when the pin is up the dialog will close.
	Restore	Restore names into edit fields and default settings.
	Clear	Clear all fields and list boxes.
	Help	Open the Help topic for this dialog.