Reputation: 310
It's probably a very easy question.
I can't find the methodology behind the pvalue calculation in the cor.test() function in R.
Upvotes: 1
Views: 3999
Reputation: 3026
Here is the code that calculates the p-value of Pearson's correlation:
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)
ct = cor.test(x, y, method = "pearson")
ct$p.value ## this is what cor.test() gives
n <- length(x)
r <- cor(x, y)
df <- n - 2
t = sqrt(df) * r/sqrt(1 - r^2)
pval = 2 * min(pt(t, df), pt(t, df, lower.tail = FALSE)) ## this is calculated manually
ct$p.value == pval
Upvotes: 6