Select menu: Stats | Mixed Models (REML) | Automatic Analyses | Series of Trials
This dialog provides facilities for the automatic analysis of a series of trials 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 experiments, and optionally the replicates, blocks, rows and columns of a rectangular grid, and plots within the trials.
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 | Series of Trials.
- Fill in the fields as required then click Run.
The VASERIES procedure is used to fit the model automatically for each experiment, and the VAMETA procedure is used to fit the model over all trials. See the help on these procedures for more details on 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.
Factor specifying the experiments or trials in the series.
An optional factor specifying the replicates within each trial.
An optional factor specifying the blocks in the trial. If only some trials are blocked, then entries in this should be missing for the trials not blocked.
An optional factor specifying the rows in the layout within each trial. If only some trials are in a rectangular grid, then entries in this should be missing for the trials not having rows and columns.
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.
An optional factor specifying the columns in the layout in each trial. If only some trials are in a rectangular grid, then entries in this should be missing for the trials not having rows and columns.
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 trials.
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 variance components defined by the replicates, blocks, rows and columns factors. 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||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 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.|
|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 from the analysis. This allows you try different subsets of the fixed model to see which terms are important.|
|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.|
- 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 Row-Column Design menu.
- Automatic Analysis of Incomplete-Block Design menu.
- Multi-treatment Meta Analysis of Summaries menu.
- Meta Analysis for Individual Trials menu.
- VASERIES procedure for automatically fitting the models to each trial using command mode.
- VAMETA procedure for automatically fitting the model over all trials using command mode.
- VMETA procedure for fitting a meta analysis to a single summary statistic.
- Stats menu