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Last data update: 2014.03.03

R: One-way Analysis of Variance Summary

summary1way

R Documentation

One-way Analysis of Variance Summary

Description

Displays summary information for a one-way anova analysis. The lm object must come from a numerical response variable and a single factor. The output includes: (i) anova table; (ii) numeric summary; (iii) table of effects; (iv) plot of data with intervals.

Usage

summary1way(fit, digit = 5, conf.level = 0.95, inttype = "tukey",
             pooled = TRUE, print.out = TRUE, draw.plot = TRUE, ...)

Arguments

`fit`	an lm object, i.e. the output from "lm()".
`digit`	decimal numbers after the point.
`conf.level`	confidence level of the intervals.
`inttype`	three options for intervals appeared on plot: "hsd","lsd" or "ci".
`pooled`	two options: pooled or unpooled standard deviation used for plotted intervals.
`print.out`	if T, print out the output on the screen.
`draw.plot`	if T, plot data with intervals.
`...`	more options.

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

attitudes <- c(5.2,5.2,6.1,6,5.75,5.6,6.25,6.8,6.87,7.1,
               6.3,6.35,5.5,5.75,4.6,5.36,5.85,5.9)
l <- rep(c("Gp1","Gp2","Gp3"),rep(6,3))
l <- factor(l)
f <-lm(attitudes ~ l)
result <- summary1way(f)
result