Automatic Analysis of Incomplete-Block Design

Select menu: Stats | Mixed Models (REML) | Automatic Analyses | Incomplete-Block Design

This provides facilities for the automatic analysis of an incomplete-block design, using the method of residual maximum likelihood (REML), which is also sometimes called restricted maximum likelihood. The data should be supplied in a single variate with factors to specify the replicates and blocks. Optionally other factors can be provided to specify the rows and columns (if the data is in a rectangular grid), and plots within the experiment.

If the rows and columns are not equally spaced or a linear trend is being estimated, then row and column coordinates can be provided to use correlation models that take into account unequal spacing, or to allow the linear trends to be estimated across the whole trial. The row and column factors and coordinates are specified in the Options dialog.

After you have imported your data, from the menu select
Stats | Mixed Models (REML) | Automatic Analyses | Incomplete-Block Design.
OR
Stats | Spatial Analysis | Automatic Analysis of Incomplete-Block Design
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 on a name to copy it to the current input field or type the name.

The procedure VABLOCKDESIGN is used for the automatic selection of random and spatial correlation models, and provides more details about how this is done.

Y-variate

Specifies a variate containing the data values.

Replicate factor

An optional factor specifying the replicates in the trial.

Block factor

A factor specifying the blocks in the trial.

Plot factor

An optional factor specifying the plots in the trial.

Fixed model

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

Additional random terms

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. This specifies terms extra to the spatial layout defined by the replicates, rows and columns. The additional terms are described using a formula, which can combine main effects and interactions of factors and also covariates.

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.

Action buttons

Run	Run the analysis.
Cancel	Close the dialog without further changes.
Options	Opens a dialog where additional options and settings can be specified for the analysis.
Defaults	Reset optionsto the default settings. Clicking the right mouse on this button produces a shortcut menu where you can choose to set the options using the currently stored defaults or the Genstat default settings.
Save	Opens a dialog where you can save results from the analysis.
Predict	Allows you form predictions based on the current model.
Further output	Opens a dialog for specifying further output from the analysis and displaying residual and means plots.
Explore fixed model	Opens a dialog for exploring the fixed model exploring the fixed model from the analysis. This allows you to try different subsets of the fixed model to see which terms are important.

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.