Displays further output from an analysis by `VASERIES`

(R.W. Payne).

### Options

`PRINT` = string tokens |
What output to present (`model` , `components` , `effects` , `means` , `stratumvariances` , `vcovariance` , `deviance` , `Waldtests` , `missingvalues` , `covariancemodels` , `aic` , `sic` , `bic` ); default `mode` , `comp` , `Wald` , `cova` |
---|---|

`PTERMS` = formula |
Terms (fixed or random) for which effects or means are to be printed; default `*` implies all the fixed terms |

`PSE` = string token |
Standard errors to be printed with tables of effects and means (`differences` , `estimates` , `alldifferences` , `allestimates` , `none` ); default `diff` |

`CFORMAT` = string token |
Whether printed output for covariance models gives the variance matrices or the parameters (`variancematrices` , `parameters` ); default `vari` |

`FMETHOD` = string token |
Controls whether and how to calculate F-statistics for fixed terms (`automatic` , `none` , `algebraic` , `numerical` ); default `auto` |

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

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

### Parameter

`EXPERIMENT` = scalars or texts |
Specifies the experiment, from the series, whose output is to be displayed; no default, must be set |
---|

### Description

The `VASDISPLAY`

procedure allows you to display further output from the analysis of a series of experiments, analysed by `VASERIES`

. 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 `EXPERIMENT`

parameter specifies the experiment from the series, whose output is to be displayed. This can be set to a scalar, or to a single-valued text if the experiments factor has labels.

The options `PRINT`

, `PTERMS`

, `PSE`

, `CFORMAT`

and `FMETHOD`

operate as in `VDISPLAY`

, except that `PRINT`

has an additional settings `aic`

and `sic`

(with a synonym `bic`

) to print the Akaike and Schwarz (Bayesian) information coefficients, respectively.

Options: `PRINT`

, `PTERMS`

, `PSE`

, `CFORMAT`

, `FMETHOD`

, `MODELDEFINITIONS`

, `SAVE`

.

Parameter: unnamed.

### See also

Procedures: `VASERIES`

, `VASKEEP`

.

Commands for: REML analysis of linear mixed models.

### Example

CAPTION 'VASDISPLAY example'; STYLE=meta SPLOAD '%gendir%/examples/Vaseries.gsh' VASERIES [PRINT=best,deviance,aic,bic,sic,dfrandom,summary;\ PBEST=*; FIXED=entry; EXPERIMENTS=site;\ ROWS=row; COLUMNS=column; BLOCKS=block; MVINCLUDE=yvariate;\ TRYSPATIAL=ifregular; TRYTRENDS=yes; RSTRATEGY=fastoptimal;\ VCONSTRAINTS=positive] yield; MODELDEFINITIONS=modeldefs; SAVE=save VASDISPLAY [PRINT=model,components,wald] 'G','H','I'