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Select menu: Stats | QTLs (linkage/Association) | Genotypic Analysis | Eigenanalysis

Use this to perform an eigenanalysis using principal components analysis and the Tracy-Widom statistic to find the number of significant principal components to represent a set of variables.

  1. After you have imported your data, from the menu select
    Stats | QTLs (linkage/Association) | Genotypic Analysis | Eigenanalysis.
  2. 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. Double-click a name to copy it to the current input field or type the name.


A pointer or a lists of variates specifying the data for the eigenanalysis.

Significance level

Specifies the significance level to use to determine the number of significant components.

Action buttons

Run Run the eigenanalysis.
Cancel Close the dialog without further changes.
Options Opens a dialog where additional options and settings can be specified for the analysis.
Defaults Reset the options to the default settings. Clicking the right mouse on this button produces a pop-up menu where you can choose to set the menu using the currently stored defaults or the Genstat default settings.
Store Opens a dialog to specify names of structures to store the 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.

See also

Updated on April 24, 2019

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