# model.tables

##### Compute Tables of Results from an Aov Model Fit

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

fits.

- Keywords
- models

##### Usage

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

## S3 method for class 'aovlist':
model.tables(x, type = "effects", se = FALSE, \dots)

##### Arguments

- x
- a model object, usually produced by
`aov`

- type
- type of table: currently only
`"effects"`

and`"means"`

are implemented. Can be abbreviated. - 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

##### Examples

`library(stats)`

```
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")
```

*Documentation reproduced from package stats, version 3.3, License: Part of R 3.3*

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