On May 5, 2011, at 12:40 PM, yoav baranan wrote:

Here is an example for my earlier question.

Say you have a 3x3 correlation matrix:
corrs <- matrix(c(0.25,0.32,0.66,0.14,0.24,0.34,0.44,0.34,0.11), nrow=3, ncol=3, dimnames = list(c('varA','varB', 'varC'), c('varA','varB', 'varC')))
And another matrix for the sample size of each correlation:
sizes <- matrix(c(44,68,313,142,144,207,201,100,99), nrow=3, ncol=3, dimnames = list(c('varA','varB', 'varC'), c('varA','varB', 'varC')))

corrs looks like this:
     varA varB varC
varA 0.05 0.14 0.44
varB 0.32 0.24 0.34
varC 0.66 0.57 0.50

sizes:
     varA varB varC
varA   44  142  201
varB   68  144  100
varC  313  207   99

i.e., the correlation between variables A and C was 0.66 with sample size of 313. (I got these tables from rcorr).

Why not offer the result of dput() on the result from rcorrs cone on 3 variables. Then we should have the necessary building blocks for your original request. This way we do not have the matrix of p-values.

And as the Posting Guide clearly says ...Please post in plain text. In your case it is particularly annoying because I do not get the filtered version but rather you html version and the text is almost unreadable at a font size of 10 in whatever font it is specifying!




What I want to do is to compare the correlations in each row (probably using r.test), and then create a correlation table with subscripts or superscripts indicating the significance "group" (again: correlations with different superscripts, in the same row, are significantly different from each other).
Something like this:
       varA varB varC
varA 0.05b 0.14b 0.44a
varB 0.32a 0.24a 0.34a
varC 0.66a 0.57ab 0.50b

At the moment we have no way of determining what values should be post- pended with which letters.



Of course, I don't have a 3x3 table. I have about 20 tables of at least 7x7 each, so this is why I'm looking for methods to automate the process.

Thanks,
Yoav

> CC: r-help@r-project.org
> From: dwinsem...@comcast.net
> To: ybara...@hotmail.com
> Subject: Re: [R] cross-correlation table with subscript or superscript to indicate significant differences
> Date: Thu, 5 May 2011 12:17:25 -0400
>
>
> On May 5, 2011, at 10:48 AM, yoav baranan wrote:
>
> >
> > Hi, I wonder whether the following is possible with R, and whether
> > anyone has done that and can share his/her code with me. I have a
> > correlation matrix, and I want to create a correlation table that I
> > can copy to Microsoft Word with a superscript above each
> > correlation, indicating significant differences in the same row.
> > That is, when correlations in the same row do not share superscript,
> > it means that they are significantly different from each other.
> > thanks,yoav
> > [[alternative HTML version deleted]]
>
> An example with data and the desired result might help focus the
> discussion.
>
> This shows how to set up an example showing how extract the row
> numbers from a correlation matrix with absolute values above 0.5 but
> less than 1 (to exclude the trivial cases).
>
snipped
>

David Winsemius, MD
West Hartford, CT

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