frt: Full randomization test
In frt: Full Randomization Test

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/frt.R

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

1	frt(x, y, alternative = "two.sided")

`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.

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.

numeric

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

Giangiacomo Bravo

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

frt.paired

# 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)