Saves results from an analysis of an unbalanced design (by `AUNBALANCED`

) in a spreadsheet (R.W. Payne).

### Options

`MEANS` = pointer |
Pointer to tables to contain the treatment means; default `means` |
---|---|

`SEMEANS` = pointer |
Pointer to tables to contain the standard errors of treatment means; default `sem` |

`SEDMEANS` = pointer |
Pointer to matrices to contain standard errors of differences of treatment means; default `sed` |

`ESEMEANS` = pointer |
Pointer to matrices to contain effective standard errors of treatment means; default `ese` |

`EFFECTS` = pointer |
Pointer to contain the estimated effects, their standard errors, t-statistics and probabilities; default `effects` |

`REPLICATIONS` = pointer |
Pointer to tables of treatment replications; default `replication` |

`RESIDUALS` = variate |
Variate to save the residuals in the `fittedvalues` page; default `residuals` |

`FITTEDVALUES` = variate |
Variate to save the fitted values in the `fittedvalues` page; default `fittedvalues` |

`COMBINATIONS` = string token |
Factor combinations for which to form predicted means (`present` , `estimable` ); default `esti` |

`ADJUSTMENT` = string token |
Type of adjustment to be made when predicting means (`marginal` , `equal` , `observed` ); default `marg` |

`AOVTABLE` = pointer |
Pointer to a text and variates containing the information in the analysis-of-variance table; default `aovtable` |

`RMETHOD` = string token |
Type of residuals to form (`simple` , `standardized` ); default `simp` |

`LSDMEANS` = pointer |
Pointer to matrices to contain least significant differences for means |

`LSDLEVEL` = scalar |
Significance level (as a percentage) for the least significant differences; default 5 |

`SPREADSHEET` = string tokens |
What to include in the spreadsheet (`aovtable` , `effects` , `means` , `semeans` , `sedmeans` , `esemeans` , `lsdmeans` , `replications` , `fittedvalues` ); default `aovt` , `mean` , `sedm` , `repl` , `fitt` |

`OUTFILENAME` = text |
Name of Genstat workbook file (.gwb) or Excel (.xls or .xlsx) file to create |

`SAVE` = identifier |
Save structure (from `AUNBALANCED` ) containing details of the analysis for which further output is required; if omitted, output is from the most recent use of `AUNBALANCED` |

### No parameters

### Description

`AUSPREADSHEET`

puts results from an analysis, by `AUNBALANCED`

, of an unbalanced design into a spreadsheet. By default the results are from the most recent analysis by `AUNBALANCED`

, but you use the `SAVE`

option to specify the save structure from some other analysis.

The `SPREADSHEET`

option specifies which pages of the spreadsheet to form, with settings:

`aovtable` |
analysis of variance table, |
---|---|

`effects` |
estimates of effects, with their standard errors, t-statistics and probabilities, |

`means` |
tables of treatment means, |

`semeans` |
tables of standard errors of treatment means, |

`sedmeans` |
matrices of standard errors of differences of treatment means, |

`esemeans` |
tables of effective standard errors of treatment means, |

`lsdmeans` |
matrices of least significant differences of treatment means, |

`replications` |
replication tables of treatment terms, |

`fittedvalues` |
y-variate, fitted values and residuals. |

By default, `SPREADSHEET`

`= aovt`

, `mean`

, `sedm`

, `repl`

, `fitt`

.

To help avoid clashes between the columns of the spreadsheets if you want to save results from more than one analysis, the parameters `MEANS`

, `SEMEANS`

, `SEDMEANS`

, `ESEMEANS`

, `LSDMEANS`

, `EFFECTS`

, `REPLICATIONS`

, `RESIDUALS`

, `FITTEDVALUES`

and `AOVTABLE`

allow you to specify identifiers for the columns (or sets of columns) that will store the corresponding results in the current spreadsheet.

Tables of means are obtained from the `AUKEEP`

procedure which uses the `PREDICT`

directive. The first step (A) of the calculation forms the full table of predictions, classified by every factor in the model. The second step (B) averages the full table over the factors that do not occur in the table of means. The `COMBINATIONS`

option specifies which cells of the full table are to be formed in Step A. The default setting, `estimable`

, fills in all the cells other than those that involve parameters that cannot be estimated, for example because of aliasing. Alternatively, setting `COMBINATIONS=present`

excludes the cells for factor combinations that do not occur in the data. The `ADJUSTMENT`

option then defines how the averaging is done in Step B. The default setting, `marginal`

, forms a table of marginal weights for each factor, containing the proportion of observations with each of its levels; the full table of weights is then formed from the product of the marginal tables. The setting `equal`

weights all the combinations equally. Finally, the setting `observed`

uses the `WEIGHTS`

option of `PREDICT`

to weight each factor combination according to its own individual replication in the data.

The `LSDLEVEL`

option specifies the significance level (as a percentage) for the least significant differences; default 5.

You can save the data in either a Genstat workbook (.gwb) or an Excel spreadsheet (.xls or .xlsx), by setting the `OUTFILENAME`

option to the name of the file to create. If the name is specified without a suffix, `'.gwb'`

is added (so that a Genstat workbook is saved). If `OUTFILENAME`

is not specified, the data are put into a spreadsheet opened inside Genstat.

Options: `MEANS`

, `SEMEANS`

, `SEDMEANS`

, `ESEMEANS`

, `EFFECTS`

, `REPLICATIONS`

, `RESIDUALS`

, `FITTEDVALUES`

, `COMBINATIONS`

, `ADJUSTMENT`

, `AOVTABLE`

, `RMETHOD`

, `LSDMEANS`

, `LSDLEVEL`

, `SPREADSHEET`

, `OUTFILENAME`

, `SAVE`

.

Parameters: none.

### Action with `RESTRICT`

If the `Y`

variate is restricted, that restriction will carry over into the fitted-values spreadsheet.

### See also

Directive: `SPLOAD`

.

Procedures: `ADSPREADSHEET`

, `ASPREADSHEET`

, `RSPREADSHEET`

, `VSPREADSHEET`

, `FSPREADSHEET`

.

Commands for: Regression analysis.

### Example

CAPTION 'AUSPREADSHEET example',\ 'Data from Genstat 5 Release 1 Reference Manual, page 340.';\ STYLE=meta,plain FACTOR [NVALUES=36; LEVELS=3; VALUES=12(1...3)] Block FACTOR [NVALUES=36; LABELS=!t(baresoil,emerald,emergo)] Leachate & [LABELS=!t('1','1/4','1/16','1/64')] Dilution VARIATE [NVALUES=36] Nhatch,Nnohatch READ Leachate,Dilution,Nhatch,Nnohatch 1 2 109 318 3 4 54 350 3 1 * 415 2 2 783 212 3 3 652 1375 2 4 490 816 1 3 95 1219 2 1 1012 66 1 4 166 943 3 2 1059 313 1 1 257 1006 2 3 1058 234 2 4 507 1119 1 2 194 840 1 3 175 1707 1 1 326 609 3 4 142 980 2 3 286 230 3 2 546 313 2 2 * 301 2 1 2471 112 3 3 76 489 1 4 208 503 3 1 * 325 1 1 322 913 1 2 255 2246 3 2 1774 1446 2 2 999 193 2 4 388 1836 3 4 221 1800 1 3 220 1902 2 1 2821 187 3 1 1486 463 3 3 717 1473 1 4 143 941 2 3 968 550 : CALCULATE Logit%h = LOG(Nhatch/Nnohatch) BLOCKSTRUCTURE Block TREATMENTSTRUCTURE Leachate*Dilution AUNBALANCED [PRINT=aovtable,effects,means,residuals; FPROBABILITY=yes;\ PSE=differences,alldifferences,means,ese] Logit%h AUSPREADSHEET [SPREADSHEET=aovtable,effects,fittedvalues,\ means,sedmeans,replications]