Select menu: Stats | Mixed Models (REML) | Automatic Analyses | Row-Column Design
This menu provides facilities for the automatic analysis of two-dimensional data in the form of a regular rectangular grid 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 rows and columns of the rectangular grid. Other factors can be provided to specify the replicates 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 must 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.
- After you have imported your data, from the menu select
Stats | Mixed Models (REML) | Automatic Analyses | Row-Column Design.
Stats | Spatial Analysis | Automatic Analysis of Row-Column Design
- Fill in the fields as required then click Run.
The procedure VAROWCOLUMNDESIGN is used for the automatic selection of random and spatial correlation models, and provides more details about how this is done.
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.
Specifies a variate containing the data values.
An optional factor specifying the blocks containing replicates in the trial.
A factor specifying the rows in the layout.
An optional variate or factor specifying the spacing of rows. If the layout is irregular or a linear trend is being tried, this must be specified.
A factor specifying the columns in the layout.
An optional variate or factor specifying the spacing of columns. If the layout is irregular or a linear trend is being tried, this must be specified.
An optional factor specifying the plots in the trial.
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.
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.
|Run the analysis.
|Close the dialog without further changes.
|Opens a dialog where additional options and settings can be specified for the analysis.
|Reset options to 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.
|Opens a dialog where you can save results from the analysis.
|Allows you form predictions based on the current model.
|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 from the analysis. This allows you to try different subsets of the fixed model to see which terms are important.
|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 names into edit fields and default settings.
|Clear all fields and list boxes.
|Open the Help topic for this dialog.
- Options for specifying output options.
- Further Output for additional output after fitting a model.
- Save for saving the results from the analysis.
- Predict for forming and plotting predictions.
- Explore fixed model dialog for exploring which terms are important in the fixed model.
- Automatic Analysis of Incomplete-Block Design menu.
- Automatic Analysis of Series of Trials menu.
- Generate a Doubly Resolvable Row-Column Designs menu
- VAROWCOLUMNDESIGN procedure for automatically fitting the spatial model using command mode.
- AFRCRESOLVABLE procedure for generating designs approximately optimal under this analysis
- CDNROWCOLUMNDESIGN procedure for generating efficient row-column designs