R help - Aug 2012 - Correlating different sets of variables?

This is a fairly entry level question - so any guidance on this would be
appreciated...

I have two sets of residuals, one of 100 values (A), and one of 10,000
values (B). There are 50 paired sets of these values. The data is in the
form of two matrices (100x50 and 10,000x50).

The goal is to correlate the residuals from A and B, to identify a those B
values that go up when a single A value goes up, and so on.

Is there a specific package that is well set up for this?

Thanks for your help.



--
View this message in context:
http://r.789695.n4.nabble.com/Correlating-different-sets-of-variables-tp4638951.html
Sent from the R help mailing list archive at Nabble.com.

On Thu, Aug 2, 2012 at 3:47 PM, danobolg321 <danobolg321 at gmail.com>
wrote:
> This is a fairly entry level question - so any guidance on this would be
> appreciated...
>
> I have two sets of residuals, one of 100 values (A), and one of 10,000
> values (B). There are 50 paired sets of these values. The data is in the
> form of two matrices (100x50 and 10,000x50).
>
> The goal is to correlate the residuals from A and B, to identify a those B
> values that go up when a single A value goes up, and so on.
>
> Is there a specific package that is well set up for this?
I'm afraid I'm not quite sure what you're looking for -- what do you
mean to "correlate" the residuals?

A random guess suggests that some combination of findInterval() and
sort() might get what you need -- also perhaps cut() or quantile() --
but a small reproducible example would be really helpful here. This
page gives some good advice on how to craft one:

http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example

Best,
Michael
>
> Thanks for your help.
>
>
>
> --
> View this message in context:
http://r.789695.n4.nabble.com/Correlating-different-sets-of-variables-tp4638951.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

Thanks for the reply.

Maybe I am not describing this appropriately - but ultimately I am looking
for items in matrix B that co-vary with items in matrix A.

In the case below:
http://r.789695.n4.nabble.com/file/n4638966/Slide1.jpg 

The values for Apples co-vary with Rice and Beans. 

The aim is to identify all the cases of this sort of co-variation in the
10,000 row data set B.

I was hoping to get a value for how "correlated" the residuals were,
i.e.
Beans is more correlated than Rice, and chicken is much less correlated,  in
order to generate some multiple sampling adjusted p-values later also.


Is this more clear?

Thanks.



--
View this message in context:
http://r.789695.n4.nabble.com/Correlating-different-sets-of-variables-tp4638951p4638966.html
Sent from the R help mailing list archive at Nabble.com.