Multivariate Linear Mixed Models

Select menu: Stats | Mixed Models (REML)

This dialog provides facilities for analysis of multivariate linear mixed models and estimation of variance components using the method of residual maximum likelihood (REML), which is also sometimes called restricted maximum likelihood.

After you have imported your data, from the menu select
Stats | Mixed Models (REML) | Multivariate Linear Mixed Models.
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.

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 a name to copy it to the current input field or type the name.

Data

This specifies the list of data variates 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.

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.

Random model

The random model is generally used to describe those factors for which the values present in an experiment can be considered drawn from some large homogeneous population. The model is described using a formula, which can combine main effects and interactions of factors and also covariates.

Covariance model across data

Lets you specify the type of covariance model across the data. You can select either Diagonal or Unstructured.

Operators

This provides a quick way of entering operators in the fixed and random model formulas. 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.