Forms a dbase file to transfer `ANOVA`

output to Agronomix Generation II (R.W. Payne).

### Options

`PRINT` = strings |
Controls printed output (`columns` ); default `*` i.e. none |
---|---|

`REPLICATETERMS` = formula |
Specifies the term or terms that define the replication in the design |

`METHOD` = string |
How to form the means (`loweststratum` , `combined` ); default `lowe` |

`ALPHALEVEL` = scalar |
Alpha value to use when calculating least significant differences; default 0.05 |

`TAIL` = scalar |
Number of tails in the calculation of least significant differences (1, 2); default 1 |

`SAVE` = `ANOVA` save structure |
Save structure for the analysis from which the means &c are to be saved; default * takes the information from the most recent `ANOVA` analysis |

### Parameters

`MEANTERM` = formula |
Defines the treatment term whose means are to be saved; no default (must be specified) |
---|---|

`OUTFILE` = text |
Name of the output file (dbf) to form; default `*` i.e. file not formed |

### Description

`G2AEXPORT`

can be used after a Genstat `ANOVA`

analysis, to write a dbase file with a table of means and associated information to be loaded into the Agronomix Generation II system (see agronomix.com).

Printed output is controlled by the `PRINT`

option, with settings:

`columns` |
to print the columns of information to be saved. |
---|

By default the means and other information are taken from the analysis of the last y-variate to have been analysed by `ANOVA`

. Alternatively, you can take the information from an analysis of another y-variate, by saving a save structure using the `SAVE`

parameter of `ANOVA`

when it is analysed, and then supplying this to `G2AEXPORT`

using its `SAVE`

option.

The `MEANTERM`

parameter specifies a formula defining the term whose means are to be saved; note that only one table of means can be saved in each call of the `G2AEXPORT`

. The `OUTFILE`

parameter specifies the file (assumed to be a dbase file) where the information is to be stored. The means are usually constructed in the standard way of the `ANOVA`

directive, namely by taking the treatment effects from the lowest stratum where they are estimated. However, you can set option `METHOD=combined`

to obtain means that combine information from every stratum where the relevant treatment effects are estimated.

The `ALPHALEVEL`

option specifies the alpha value to use in the calculation of least significant differences that accompany the table of means (default 0.05), and the `TAIL`

option specifies whether this is to be for a 1 or 2-sided test (default 1).

The `REPLICATETERMS`

option can supply a model formula to specify one or more model terms defining complete replications of the treatments: for example, blocks in a complete randomized block design, or rows and columns in a Latin square.

Options: `PRINT`

, `REPLICATETERMS`

, `METHOD`

, `ALPHALEVEL`

, `TAIL`

, `SAVE`

.

Parameters: `MEANTERM`

, `OUTFILE`

.

### Method

The information is mainly obtained using `AKEEP`

. The first column (called `NAME`

) describes the contents of each row. Then there is a column for every factor in the table of means, indexing the column of means (called `AVG`

) which comes next. The ranks of the means are in the subsequent column (called `RANK`

), and the next column (called `CV`

) saves the standard deviation of the observations on each combination of the levels of the mean factors, expressed as a percentage of their mean. Finally, if the means are unequally replicated there is a column saving the replication of each mean.

At the top of the columns, there is a row for each mean in the table. Then there are some extra rows with the following names (in the `NAME`

column) and information (in the `AVG`

column):

`GRAND` `MEAN` |
the grand (i.e. overall) mean; |
---|---|

`CV` |
the coefficient of variation for the lowest stratum in which the maximal model term in the table of means (e.g. `A.B` for an `A` -by-`B` table of means) is estimated; |

`LSD` |
saves the least significant difference for the table of means if this is the same for all comparisons of means within the table, otherwise this is replaced by three rows with the minimum, average and maximum LSD (`Min` `LSD` , `LSD` and `Max` `LSD` ); |

`Residual` |
the residual mean square for the lowest stratum in which the maximal model term in the table of means is estimated; |

`SED` |
saves the standard error of differences for the table of means if this is the same for all comparisons of means within the table, otherwise this is replaced by three rows with the minimum, average and maximum SED (`Min` `SED` , `SED` and `Max` `SED` ); |

`Alpha` `level` |
alpha level used in the calculation of the LSDs (`ALPHALEVEL` option); |

`R` `Square` |
the value of R-square for analysis down to the lowest stratum in which the maximal model term in the table of means is estimated (this ensures that any lower strata that represent within-cell replication are ignored); |

`No` . `of` `Reps` |
saves replication of the table of means if this is the same for every mean in the table, otherwise this is replaced by three rows with the minimum, average and maximum replication (`Min` `no` . `of` `Reps` , `No` . `of` `Reps` and `Max` `no` . `of` `Reps` ); |

`RE-RCBD` |
the efficiency factor of the maximal model term in the table of means, expressed as a percentage; |

`Rep-Msqr` |
the mean square of the `REPLICATIONTERMS` ; |

`Heritability` |
this row is include for compatibility with the output that `G2VEXPORT` constructs following `REML` , but cannot be calculated for `ANOVA` analyses; |

`Prob` . `Entry` |
the F probability of the variance ratio of the maximal model term in the table of means; |

`Error` `d.f.` |
the residual degrees of freedom for the lowest stratum in which the maximal model term in the table of means is estimated; |

`Tail` |
Number of tails in the calculation of the least significant differences (`TAIL` option). |

### Action with `RESTRICT`

If the `Y`

variate in the `ANOVA`

was restricted, only the units not excluded by the restriction will have been analysed.

### See also

Directive: `ANOVA`

.

Procedures: `G2AFACTORS`

, `G2VEXPORT`

.

Commands for: Analysis of variance.

### Example

CAPTION 'G2AEXPORT example',\ !t('Randomized block design to assess five strains of wheat',\ '(Snedecor, Statistical Methods, page 209).');\ STYLE=meta,plain SPLOAD '%gendir%/data/wheatstrains.gsh' BLOCKSTRUCTURE Blocks TREATMENTSTRUCTURE Strains ANOVA [FPROBABILITY=yes] Yield G2AEXPORT [PRINT=columns; REP=Blocks] Strains