day, March 03, 2011 3:43 PM
> To: Greg Snow
> Cc: r-help@r-project.org
> Subject: Re: [R] Regression with many independent variables
>
> Thanks for getting back to me so quickly greg. Im not quite sure how
> to do what you just said, is there an example that you can show?
>
&
t.dougla...@gmail.com]
>> Sent: Thursday, March 03, 2011 2:09 PM
>> To: Greg Snow
>> Cc: r-help@r-project.org
>> Subject: Re: [R] Regression with many independent variables
>>
>> Thanks greg,
>>
>> that formula was exactly what I was looking for. Exc
essage-
>> From: Matthew Douglas [mailto:matt.dougla...@gmail.com]
>> Sent: Tuesday, March 01, 2011 1:09 PM
>> To: Greg Snow
>> Cc: r-help@r-project.org
>> Subject: Re: [R] Regression with many independent variables
>>
>> Hi Greg,
>>
>> Thank
...@imail.org
801.408.8111
> -Original Message-
> From: Matthew Douglas [mailto:matt.dougla...@gmail.com]
> Sent: Thursday, March 03, 2011 2:09 PM
> To: Greg Snow
> Cc: r-help@r-project.org
> Subject: Re: [R] Regression with many independent variables
>
> Thanks greg
hcare
> greg.s...@imail.org
> 801.408.8111
>
>
>> -Original Message-
>> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
>> project.org] On Behalf Of Matthew Douglas
>> Sent: Monday, February 28, 2011 1:32 PM
>> To: r-help@r-project.org
&g
.
> > Statistical Data Center
> > Intermountain Healthcare
> > greg.s...@imail.org
> > 801.408.8111
> >
> >
> >> -Original Message-
> >> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> >> project.org] On Behalf Of Matthe
08.8111
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of Matthew Douglas
> Sent: Monday, February 28, 2011 1:32 PM
> To: r-help@r-project.org
> Subject: [R] Regression with many independent variables
>
Hi,
I am trying use lm() on some data, the code works fine but I would
like to use a more efficient way to do this.
The data looks like this (the data is very sparse with a few 1s, -1s
and the rest 0s):
> head(adj0708)
MARGIN Poss P235 P247 P703 P218 P430 P489 P83 P307 P337
1 64.2857
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