R help - Apr 2011 - Regression Summary for a List

Hi,

I am trying to run a regression on two matrices with 10 columns.  I have
been able to run the regression with the following code:

fit=list()
for(i in 1:10) {
fit[[i]]=lm(monret[,i]~janret[,i])
}

However, I can't get the regression to spit out more than the coefficients
(summary(fit) does not work).  I really need the full summary for each of
the 10 regressions, including the R-squared values.  I'm sure there's a
simple way to do this I just can't seem to figure it out.

Thanks.

-Ryan

	[[alternative HTML version deleted]]

Ryan -
    summary expects an lm object, and fit is a list.  So
you need to use something like

    lapply(fit,summary)

to pass each list element to the summary function.

 					- Phil Spector
 					 Statistical Computing Facility
 					 Department of Statistics
 					 UC Berkeley
 					 spector at stat.berkeley.edu



On Fri, 29 Apr 2011, Ryan J. McGuigan wrote:
> Hi,
>
> I am trying to run a regression on two matrices with 10 columns.  I have
> been able to run the regression with the following code:
>
> fit=list()
> for(i in 1:10) {
> fit[[i]]=lm(monret[,i]~janret[,i])
> }
>
> However, I can't get the regression to spit out more than the
coefficients
> (summary(fit) does not work).  I really need the full summary for each of
> the 10 regressions, including the R-squared values.  I'm sure
there's a
> simple way to do this I just can't seem to figure it out.
>
> Thanks.
>
> -Ryan
>
> 	[[alternative HTML version deleted]]
>
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