Peter Dalgaard p.dalgaard at biostat.ku.dk writes:
No, he wants to compare two correlation coefficients, not test that
one is zero. That's usually a misguided question, but if need be, the
Fisher z transform atanh(r) can be used to convert r to an
approximately normal variate with a known
Anupam Tyagi AnupTyagi at yahoo.com writes:
It seem the more complicated case is often of more substantive interest in
many
settings: is children's income more strongly correlated with parent's
education
than parent's income?
An even better example (same measurement scale)---Questions
Hi,
I calculated a few correlation coefficients. Now I want to know whether
they are different from each other. Is there an R package that can do
such a comparison? Thanks for any suggestion.
Best,
Donglei Hu
Department of Medicine
UCSF
[[alternative HTML version deleted]]
Is cor.test() in the stats packages what you mean?
On 18/09/06, Hu, Donglei [EMAIL PROTECTED] wrote:
Hi,
I calculated a few correlation coefficients. Now I want to know whether
they are different from each other. Is there an R package that can do
such a comparison? Thanks for any
David Barron [EMAIL PROTECTED] writes:
Is cor.test() in the stats packages what you mean?
No, he wants to compare two correlation coefficients, not test that
one is zero. That's usually a misguided question, but if need be, the
Fisher z transform atanh(r) can be used to convert r to an
Dear Donglei Hu,
If you have two correlation coefficients, you may try cordif {multilevel}
and cordif.dep {multilevel} for the independent correlations and for the
dependent correlations, respectively. However, they are both based on the
sampling distribution of correlation coeficient. A better
Dear expeRts
Is it possible to compare correlation coefficients or to normalize
different correlation coefficients?
Concretely, we have the following situation:
We have gene expression profiles for different tissues, where the
number of samples per tissue are different, ranging from 10 to 250.
