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frt (version 0.1)

frt: Full randomization test

Description

Performs a two sample full randomization test on vectors of data.

Usage

frt(x, y, alternative = "two.sided")

Arguments

x
a numeric vector
y
a numeric vector
alternative
a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less". You can specify just the initial letter.

Value

numeric
the probability of the null hypothesis of no difference between means.

Details

The function tests all the $(n + m)! / n!m!$ possible arrangements, where n and m are the lengths of x and y respectively. This number (just as computational times and memory requirements) grows extremely fast with n and m.

References

Box, G.E.P, Hunter, J.S. and Hunter, G.W. (2005), Statistics for Experimenters: Design, Innovation, and Discovery. Second Edition. Hoboken, NJ: Wiley.

See Also

frt.paired

Examples

Run this code
# Tomato yield example in Box et al. (2005, 78--80)
data(tomatoes)
attach(tomatoes)
x <- pounds[fertilizer == "A"]
y <- pounds[fertilizer == "B"]
frt(x, y, alt="l")
detach(tomatoes)

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