Saves experiment × treatment means from analysis of a series of trials by `VASERIES`

(R.W. Payne).

### Options

`FACTORIAL` = scalar |
Limit on the number of factors in the terms generated from the `TERMS` parameter; default 3 |

`RESIDUALVARIANCES` = table |
Saves residual variances from the experiments |

`MODELDEFINITIONS` = pointer |
Definitions of the models used by `VASERIES` |

`SAVE` = pointer |
`REML` save structures from the `VASERIES` analysis |

### Parameters

`TERMS` = formula |
Terms for which means are to be saved |

`MEANS` = tables or pointers |
Experiment × term tables of means |

`SEMEANS` = tables or pointers |
Experiment × term tables of standard errors of means |

`AVESEDMEANS` = tables or pointers |
Average standard errors of differences for the experiments |

### Description

`VASMEANS`

saves experiment-by-term tables of means, and associated information, from a series of experiments analysed by the `VASERIES`

procedure. The model definitions and `REML`

save structures from the analysis can be specified by the `MODELDEFINITIONS`

and `SAVE`

options. If either of these is not specified, the output is taken from the most recent `VASERIES`

analysis.

The parameters of `VASMEANS`

save the information about the fixed terms. The `TERMS`

parameter specifies a model formula, which Genstat expands to form the series of terms about which you wish to save information. The `FACTORIAL`

option sets a limit on the number of factors in each term. Any term containing more than that limit is deleted.

The subsequent parameters allow you to specify identifiers of data structures to store the information about each of the terms that you have specified. The `MEANS`

parameter saves tables of predicted means, classified by the experiment factor and the factors of the term. Similarly the `SEMEANS`

parameter saves tables of standard errors. The `AVESEDMEANS`

parameter saves tables of average standard errors for the means, classified by the experiment factor (as required for the `VMETA`

procedure). If you have a single term, you can supply a table for each of these parameters, as appropriate. However, if you have several terms, you must supply a pointer which will then be set up to contain as many tables as there are terms.

The `RESIDUALVARIANCES`

option saves residual variances from the experiments, in a table classified by the experiment factor (also as required for the `VMETA`

procedure).

Options: `FACTORIAL`

, `RESIDUALVARIANCES`

, `MODELDEFINITIONS`

, `SAVE`

.

Parameters: `TERMS`

, `MEANS`

, `SEMEANS`

, `AVESEDMEANS`

.

### See also

Directives: `REML`

, `VKEEP`

.

Procedures: `VASERIES`

, `VASKEEP`

, `VMETA`

.

Commands for: REML analysis of linear mixed models.

### Example

CAPTION 'VASMEANS example'; STYLE=meta SPLOAD [PRINT=*] '%gendir%/examples/WheatTrials.gsh' " find best random model for each trial " VASERIES [PRINT=best,devi,aic,sic,dfrandom,summary; FIXED=Entry;\ EXPERIMENTS=Trial; ROWS=Row; COLUMNS=Column; BLOCKS=Block;\ MVINCLUDE=yvariate; TRYSPATIAL=ifregular; TRYTRENDS=yes;\ RSTRATEGY=fastoptimal; VCONSTRAINTS=positive]\ Yield; MODELDEFINITIONS=modeldefs; SAVE=save " save trial x entry means, residual variances and average SEDs " VASMEANS [RESIDUALVARIANCES=Sigma2] Entry; MEANS=Means;\ SEMEANS=SE; AVESEDMEAN=AverageSEDs PRINT Means,SE PRINT Sigma2,AverageSEDs