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.
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.
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.
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.
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.
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.
- Options for specifying output options
- Further Output for obtaining additional output after fitting a model
- Save for saving the results from a REML analysis
- REML directive for command mode use of REML, with additional options to control the algorithm and for more sophisticated analyses.
- Reml Predictions menu for forming predictions.