R: Compute Tables of Results from an 'aov' Model Fit

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 `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.

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")

[Package stats version 4.4.1 Index]

Compute Tables of Results from an aov Model Fit