cor.test | R Documentation |
This function estimates the rho parameter for bivariate normal using MCMC. It use a very wide prior on the mean (normal) and sd (uniform) for the marginals.
cor.test(x,y,method = "mcmc")
x, y |
numeric vectors of data values. 'x' and 'y' must have the same length |
It is used in the same way at the base cor.test function except with settting method to "mcmc"
## 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 = "mcmc")
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