[R] apply lm() for all the columns of a matrix

[Dimitris Rizopoulos]

If you have the same design matrix then you can specify a matrix of 
responses in lm(), e.g.,

Y <- matrix(rnorm(100*10), 100, 10)
x <- rnorm(100)

fit <- lm(Y ~ x)
fit
summary(fit)


I hope it helps.

Best,
Dimitris

----
Dimitris Rizopoulos
Biostatistical Centre
School of Public Health
Catholic University of Leuven

Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/(0)16/336899
Fax: +32/(0)16/337015
Web: http://med.kuleuven.be/biostat/
     http://www.student.kuleuven.be/~m0390867/dimitris.htm


----- Original Message ----- 
From: "Costas Douvis" <cdouvis at geol.uoa.gr>
To: <r-help at r-project.org>
Sent: Wednesday, April 09, 2008 12:55 PM
Subject: [R] apply lm() for all the columns of a matrix


> Hi all,
>
> My question is not really urgent. I can write a loop and solve the
> problem. But I know that I'll be in a similar situation many more 
> times so
> it would be useful to find out the answer
>
> Is there a fast way to perform linear fit to all the columns of a 
> matrix?
> (or in the one dimension of a multi-dimensional array.) I'm talking 
> about
> many single linear fits, not about a multiple fit. I thought that a
> combination of apply and lm would do it but I can't make it work
>
> Thank you
> Kostas
>
>
> -- 
> Kostas Douvis
> PhD Student
> University of Athens - Department of Geography and Climatology
> Academy of Athens - Research Centre for Atmospheric Physics and 
> Climatology
> email: cdouvis at geol.uoa.gr
> tel: +30-210-8832048
>
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> PLEASE do read the posting guide 
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
> 


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