model.tables {stats} | R Documentation |

## Compute Tables of Results from an `aov`

Model Fit

### Description

Computes summary tables for model fits, especially complex `aov`

fits.

### Usage

```
model.tables(x, ...)
## S3 method for class 'aov'
model.tables(x, type = "effects", se = FALSE, cterms, ...)
## S3 method for class 'aovlist'
model.tables(x, type = "effects", se = FALSE, ...)
```

### Arguments

`x` |
a model object, usually produced by |

`type` |
type of table: currently only |

`se` |
should standard errors be computed? |

`cterms` |
A character vector giving the names of the terms for which tables should be computed. The default is all tables. |

`...` |
further arguments passed to or from other methods. |

### Details

For `type = "effects"`

give tables of the coefficients for each
term, optionally with standard errors.

For `type = "means"`

give tables of the mean response for each
combinations of levels of the factors in a term.

The `"aov"`

method cannot be applied to components of a
`"aovlist"`

fit.

### Value

An object of class `"tables.aov"`

, as list which may contain components

`tables` |
A list of tables for each requested term. |

`n` |
The replication information for each term. |

`se` |
Standard error information. |

### Warning

The implementation is incomplete, and only the simpler cases have been tested thoroughly.

Weighted `aov`

fits are not supported.

### See Also

`aov`

, `proj`

,
`replications`

, `TukeyHSD`

,
`se.contrast`

### Examples

```
options(contrasts = c("contr.helmert", "contr.treatment"))
npk.aov <- aov(yield ~ block + N*P*K, npk)
model.tables(npk.aov, "means", se = TRUE)
## as a test, not particularly sensible statistically
npk.aovE <- aov(yield ~ N*P*K + Error(block), npk)
model.tables(npk.aovE, se = TRUE)
model.tables(npk.aovE, "means")
```

*stats*version 4.4.0 Index]