Repeated Measures - Data in single variate
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This menu provides facilities for repeated measurements analysis using the method of residual maximum likelihood (REML), which is also sometimes called restricted maximum likelihood. This menu expects the measurements to be within a single variate, with factors to specify the measurements for each subject and the time when the measurements took place.

Data

Specifies a data variate containing all the measurements to be analysed.

Subjects

A factor specifying the subjects or individuals.

Time Points

A factor specifying the time points for the observations for the subjects.

Same time-points for all subjects

Specifies whether the time points are the same for every subject. The available types of correlation model that can be fitted will differ according to whether the subjects have the same time-points or not.

Equally spaced time-points

Specifies whether the times of measurement are equally spaced or irregular. The available types of correlation model that can be fitted will differ according to whether the time points are equally spaced or irregular.

Model for correlation within subject across time

Lists the available correlation models that can be fitted. The types of models available will depend on the form of the repeated measurements i.e. whether the time-points are equally spaced or whether the time-points are the same for all subjects.

Allow heterogeneity across time

For the models defined in terms of correlation matrices, that is, the AR, uniform, power and ante-dependence models, it may sometimes be desirable to allow for unequal variances. Select this options to allow heterogeneity across time.

Additional uniform correlation within subject

Specifies whether you want to include additional uniform correlation within subject into the model.

Fixed Model

The fixed model describes imposed treatment factors and covariates for which the effect of specified levels or values are of interest. The model is described using a formula, which can combine main effects and interactions of factors and also covariates.

Available Data

This lists data structures appropriate to the current input field. 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 in the name directly.

Operators

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

Action Buttons

RunRun the analysis.
CancelClose the menu without further changes.
OptionsOpens a dialog where additional options and settings can be specified for the analysis.
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.
PredictAllows you form predictions based on the current model.
Further outputOpens a dialog for specifying further output from the analysis and displaying residual and means plots.

See Also