R help - Sep 2005 - corr.test -- use a different null hypothesis

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First of all, I'm a physicist and therefore I'm not much used to use
statistics. So, please forgive me if this is a FAQ or stupid, but I
failed to find the answer by myself.

I want to use corr.test to test for the correlation of two data sets
(actually I have a lot of data set and perform pairwise testing). But I
wanted to find sets where the correlation is less than a certain limit,
i.e. |r_exp| < r_0. As far as I can see corr.test is designed to work
only for the null hypothesis r_exp = 0. I would need H0 as |r_exp|>= r_0.

Is there any way to specify this null-hypothesis to corr.test ?
Any other idea how to test that hypothesis?

Regards
Hans Georg Krauthaeuser
- --
Otto-von-Guericke-Universitaet Magdeburg
IGET            |   fon: +49 391 67 12195
Postfach 4120   |   fax: +49 391 67 11236
39016 Magdeburg | email: hgk at et.Uni-Magdeburg.DE
Germany         |   www: www.uni-magdeburg.de/krauthae
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Dr. Hans Georg Krauthaeuser <Hans-Georg.Krauthaeuser <at>
E-Technik.Uni-
Magdeburg.DE> writes:
> 
> I want to use corr.test to test for the correlation of two data sets
> (actually I have a lot of data set and perform pairwise testing). But I
> wanted to find sets where the correlation is less than a certain limit,
> i.e. |r_exp| < r_0. As far as I can see corr.test is designed to work
> only for the null hypothesis r_exp = 0. I would need H0 as |r_exp|>=
r_0.
> 
cor.test (sic!) for method="pearson" returns a confidence interval for
r. You
could use the upper limit of it for your test

Dieter