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Canonical Variates Analysis

Select menu: Stats | Multivariate Analysis | Canonical Variates

Canonical variates analysis operates on a within-group sums of squares and products matrix, calculated from a set of variates and factor that specifies the grouping of units. It finds linear combinations of the variates that maximize the ratio of between-group to within-group variation, thereby giving functions that can be used to discriminate between the groups.

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

You can set additional Options then after running, you can save the results by clicking Save.

Data values

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.

In command mode, the CVA directive lets you specify a within-group SSPM directly as input.

Grouping factor

Used to specify the groups using a factor.

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 for the analysis.
Defaults Reset options to the default settings. Clicking the right mouse on this button produces a pop-up menu where you can choose to set the options using the currently stored defaults or the Genstat default settings.
Save Opens a dialog to specify names of structures to save the results from the analysis.
Biplot Opens a dialog to produce a biplot of the results from the analysis.
Trellis plot Open the dialog which creates a 2D trellis plot of groups.

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.

See also

Updated on February 16, 2023

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