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 aov
model.tables(x, type = "effects", se = FALSE, cterms, …)
# S3 method for 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
A list of tables for each requested term.
The replication information for each term.
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)
# NOT RUN {
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")
# }