model.tables {base}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, ...)
model.tables.aov(x, type = "effects", se = FALSE, cterms)
model.tables.aovlist(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.
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.

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.

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.

Author(s)

B.D. Ripley

See Also

aov

Examples

## From Venables and Ripley (1997) p.210.
N <- c(0,1,0,1,1,1,0,0,0,1,1,0,1,1,0,0,1,0,1,0,1,1,0,0)
P <- c(1,1,0,0,0,1,0,1,1,1,0,0,0,1,0,1,1,0,0,1,0,1,1,0)
K <- c(1,0,0,1,0,1,1,0,0,1,0,1,0,1,1,0,0,0,1,1,1,0,1,0)
yield <- c(49.5,62.8,46.8,57.0,59.8,58.5,55.5,56.0,62.8,55.8,69.5,
55.0, 62.0,48.8,45.5,44.2,52.0,51.5,49.8,48.8,57.2,59.0,53.2,56.0)

npk <- data.frame(block=gl(6,4), N=factor(N), P=factor(P),
                  K=factor(K), yield=yield)
npk.aov <- aov(yield ~ block + N*P*K, npk)
model.tables(npk.aov, "means", se=T)

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