Parallel ANOVA

This menu can be used to run a large number of Analysis of Variances in parallel for a set of units which have multiple measurements/y-variates on each unit. The data can either be in stacked format, where all the y-variates are stacked into one, indexed by unit and y-variate, or else a set of variates for each unit which are pointed to by a pointer. The results on each y-variate are saved, indexed by the y-variate.

The analysis for the menu is carried out using the MAANOVA procedure which performs an analysis of variance to analyse the individual y-variates.

The results can be saved into structures by specifying the identifier names using the store dialog which can be opened by clicking on the Store button.

Available Data

This lists data structures appropriate for the edit box which currently has focus. You can double-click a name to enter it in the edit box.

Data Format

The data can be supplied in either of the following formats:

Single Variate for Y with Units Factor - All the Y variates are stacked into a single variate, with factors that index the units and measurements
Pointer to Y-Variates for each Unit - Each unit has its data in a variate, and a pointer which points to this set of variates is provided. The Units factor is not required, but if supplied it should just have one entry for each unit in the order of the variates in the pointer. The Measurements factor is that for a single slide, and all slides must have a common layout.

The spreadsheet stack and unstack menus can be used to reorganise the data between these two formats.

Y-Variate

A variate containing the stacked y-variates to be analysed, or a pointer to a set of variates containing the y-variate values for each unit. The variates must all contain the data in the same order.

Units

The factor that identifies the units. If the data are in the pointer format, then this should have just one entry per unit. If the data are in a single variate (stacked) format, then this factor indexes the units in the y-variate.

Y-Variates Factor

The factor that identifies the individual y-variates. If the data are in pointer format, then this should contain the information for a single unit, and all the y-variates for each unit are expected in this common order. If the data are in a single variate (stacked) format, then this factor indexes the individual y-variates in the stacked y-variate.

Unit Order Validation

A factor the same length as the factors within the Treatment Structure which indexes the units. This must have the same levels/labels as the Units factor, and is used to verify that the treatments are in the same order as the data specified in the y-variate. Supplying this factor is optional, but highly recommended to validate whether the data and treatments match as expected. If the labels of the slides and check factor match, but are in a different order, the treatment factors will be sorted into the correct order with a warning.

Treatment Structure

A formula specifying the combinations of factors that describes the treatment structure for the series of slides. For a single factor experiment this will just be the name of the factor that specifies the targets used on each slide.

Block Structure

A formula specifying the combinations of factors that describes the block structure for the series of slides. If the slides have not been processed in replicates, i.e. are completely randomized, then this field should be left blank.

Operators

This provides a quick way of entering operators in the treatment and block 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 operator.

Action Buttons

Run	Run the analysis.
Cancel	Close the menu without further changes.
Options	Opens a dialog where additional options and settings can be specified for the analysis.
Defaults	Change the menu settings back to the default settings. Clicking the right mouse on this button produces a shortcut menu where you can choose to set the menu using the currently stored defaults or the GenStat default settings.
Store	Opens a dialog to specify names of structures to store the results from the analysis. The names to save the structures should be supplied before running the analysis.
Contrasts	Opens a contrasts dialog where you can create a new contrasts matrix. Within this dialog you need to specify the number of contrasts and type of contrast (regression or comparison contrasts) which will then create a matrix spreadsheet where you can enter the names and values of the contrasts.