Hello all,

I believe this can be done using bootstrap, but I am wondering if there is
some other way that might be used to tackle this.

#Let's say I have two pairs of samples:
set.seed(100)
s1 <- rnorm(100)
s2 <- s1 + rnorm(100)

x1 <- s1[1:99]
y1 <- s2[1:99]

x2 <- x1
y2 <- s2[2:100]

#And both yield the following two correlations:
cor(x1,y1) # 0.7568969  (cor1)
cor(x2,y2) # -0.2055501 (cor2)

Now for my questions:
1) is cor1 larger then cor2?   (CI for the diff ?)
2) With what P value?
3) What if the values of s1 are not independent ?

I found an older thread discussing such issues:
http://tolstoy.newcastle.edu.au/R/e2/help/06/09/1035.html
But wasn't sure how much this might be relevant to my case.



Thanks for any help,
Tal

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