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if(!require('stats')) {
install.packages('stats')
library('stats')
}
## Hollander & Wolfe (1973), p. 187f.
## Assessment of tuna quality. We compare the Hunter L measure of
## lightness to the averages of consumer panel scores (recoded as
## integer values from 1 to 6 and averaged over 80 such values) in
## 9 lots of canned tuna.
x <- c(44.4, 45.9, 41.9, 53.3, 44.7, 44.1, 50.7, 45.2, 60.1)
y <- c( 2.6, 3.1, 2.5, 5.0, 3.6, 4.0, 5.2, 2.8, 3.8)
## The alternative hypothesis of interest is that the
## Hunter L value is positively associated with the panel score.
cor.test(x, y, method = "kendall", alternative = "greater")
## => p=0.05972
cor.test(x, y, method = "kendall", alternative = "greater",
exact = FALSE) # using large sample approximation
## => p=0.04765
## Compare this to
cor.test(x, y, method = "spearm", alternative = "g", parameter="degree of freedom")
cor.test(x, y, alternative = "g")
cor.test(~ CONT + INTG, method = "spearm", data = USJudgeRatings)
## Formula interface.
require(graphics)
pairs(USJudgeRatings)
cor.test(~ CONT + INTG, data = USJudgeRatings)