Repeated Measures - Analysis of Variance
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Produces an analysis of variance for repeated measurements. A repeated-measures design is one in which subjects (animals, people, plots, etc.) are observed several times. Each subject receives a randomly allocated treatment, either at the outset, or repeatedly through the experiment. The subjects are observed at successive occasions to see how the treatment effects develop.

Data at Successive Times

Used to enter the names of the variates, one for each time point, containing the data observations which are to be analysed. The button allows multiple selections to be copied from Available Data

Treatment structure

The treatment terms to be fitted are specified by entering a model formula.

Block Structure

The underlying structure of the design is defined by entering a model formula.

Available Data

This lists data structures appropriate to the current input field. It lists either factors for use in specifying the treatment and block structure, or variates for specifying the data and additional covariates. The contents will change as you move from one field to the next. Double-click on a name to copy it to the current input field; alternatively, you can type the name directly into the input field.

Operators

This provides a quick way of entering operators in the treatment and block model formulas. Double-click on the required symbol to copy it to the current input field. You can also type in operators directly. See Operators in model formulae for a description of each.

Covariates

Select the check box if you want to perform analysis of covariance. This produces an additional field in which you can list the covariates for the analysis. If there is more than one, their names must be separated by spaces or commas.

Interactions

Controls the maximum order of interaction to be generated when you use model-formula operators like *. The default is to include all interactions, up to those involving nine factors. (You cannot ask for more than nine.)

Time points

Specifies a variate or a text for time points that are used to identify the data variates. If the time points are not supplied then the data variates will be identified in the output by their identifier names.

Action Buttons

RunRun the analysis.
CancelClose the menu without further changes.
OptionsOpens a dialog where additional options and settings can be specified for the graph.
DefaultsSet the menu settings back to the default settings. Clicking the right mouse on this button produces a shortcut menu where you can choose to set the menu using the currently stored defaults or the GenStat default settings.
SaveOpens a dialog where you can save results from the analysis.
Further OuputOpens a dialog where you can display further output and produce residual plots.

See Also