R help - Dec 2008 - how to generalize the arguments for lm() (r-help@lists.R-project.org)

Hello,

How could I generalize the following statement for an arbitrary number of
columns instead of 7?

result[[i]]<-lm( returns[,i] ~ factors[,1] + factors[,2] + factors[,3] +
factors[,4] + factors[,5] + factors[,6] + factors[,7] )

Thank you,

Mathgurl



      
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you can just use a design matrix on the right hand side of 'formula',
e.g.,

factors <- matrix(rnorm(100*10), 100, 10)
y <- rnorm(100)

lm(y ~ factors)


I hope it helps.

Best,
Dimitris


Math Girl wrote:
> Hello,
> 
> How could I generalize the following statement for an arbitrary number of
columns instead of 7?
> 
> result[[i]]<-lm( returns[,i] ~ factors[,1] + factors[,2] + factors[,3] +
factors[,4] + factors[,5] + factors[,6] + factors[,7] )
> 
> Thank you,
> 
> Mathgurl
> 
> 
> 
>       
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
> 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.
> 
-- 
Dimitris Rizopoulos
Assistant Professor
Department of Biostatistics
Erasmus Medical Center

Address: PO Box 2040, 3000 CA Rotterdam, the Netherlands
Tel: +31/(0)10/7043478
Fax: +31/(0)10/7043014

Using the built in CO2 data frame this regresses uptake on all the
other columns:

lm(uptake ~., CO2)

On Sun, Dec 28, 2008 at 2:28 AM, Math Girl <mathmathgurl at yahoo.com>
wrote:
> Hello,
>
> How could I generalize the following statement for an arbitrary number of
columns instead of 7?
>
> result[[i]]<-lm( returns[,i] ~ factors[,1] + factors[,2] + factors[,3] +
factors[,4] + factors[,5] + factors[,6] + factors[,7] )
>
> Thank you,
>
> Mathgurl
>
>
>
>
>        [[alternative HTML version deleted]]
>
> ______________________________________________
> 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.
>