[R] Significance Test for Correlation Coefficients

[Matt McCall]

Hello all,
I have a set of  microarray timeseries (approx. 18000 genes and 7 time 
points per gene) data that I have correlated with a template (a vector 
of length 7).  I have also correlated random data from a normal 
distribution with the same mean and standard deviation as my data set 
with the template, as well as, correlating a random permutation of my 
data set with the template.  So I now have 3 vectors of length 18000 
contains correlation coefficients.  I was wondering if there was a test 
in R to determine if the correlation coefficients are significantly 
different.  In particular, I want to compare the correlation 
coefficients from my data set with each of the other two.  Thank you 
for any help you can give me.
Sincerely,
Matt