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.

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")


[Package stats version 4.2.0 Index]