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Last data update: 2014.03.03

R: Two-way Analysis of Variance Summary

summary2way

R Documentation

Two-way Analysis of Variance Summary

Description

Displays summary information for a two-way anova analysis. The lm object must come from a numerical response variable and factors. The output depends on the value of page:

page = "table" anova table page = "means" cell means matrix, numeric summary page = "effects" table of effects page = "interaction" tables of contrasts page = "nointeraction" tables of contrasts

Usage

summary2way(fit, page = "table", digit = 5, conf.level = 0.95, 
                   print.out = TRUE, ...)

Arguments

`fit`	an lm object, i.e. the output from "lm()".
`page`	options for output: "table", "means", "effects", "interaction", "nointeraction"
`digit`	the number of decimal places in the display.
`conf.level`	confidence level of the intervals.
`print.out`	if TRUE, print out the output on the screen.
`...`	other arguments like inttype, pooled etc.

Value

`Df`	degrees of freedom for regression, residual and total.
`Sum of Sq`	sum squares for regression, residual and total.
`Mean Sq`	mean squares for regression and residual.
`F value`	F-statistic value.
`Pr(F)`
`Main Effect`
`Group Effects`

Examples

##Arousal data:
data(arousal.df)
fit<-lm(arousal~gender+picture+gender*picture,data=arousal.df)
summary2way(fit)