Hello, 

I have spent considerable time trying to figure out that which I am about to describe.  This included searching Help, consulting my various R books, and trail and (always) error.  I have been assuming I would need to use a loop (looping over columns) but perhaps and apply function would do the trick.  I have unsuccessfully tried both.

A scaled down version of my situation is as follows:

I have a dataframe as follows:

ID       Y      x1          x2          x3           usergroup.

Y is a continous criterion, x1-x3 continous predictors, and usergroup is coded a 1, 2 or 3 to indicate user status.

My end goal is a (dataframe or matrix) with just the regression coef from each of 12 runs (each x regressed separately on Y for the total sample and for each usergroup).  I envision output as follows, a three column by four row dataframe or matrix.

                                                  
                         Y and x1;            Y and x2;         Y and x3.
Total sample:
usergroup 1:               
usergroup 2:               (Regression Coefs fill the matrix) 
usergroup 3:              

Using 1.8.1
Windows 2000 and XP

Help would be most appreciated.

Greg Blevins, Partner
The Market Solutions Group
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