Re: [R] Collection of lm()s

From: Dimitris Rizopoulos <Dimitris.Rizopoulos_at_med.kuleuven.be>
Date: Mon, 12 May 2008 16:07:58 +0200

try something like the following:

x <- runif(1000, -3, 3)
y <- 2 + 3 * x + rnorm(1000)
f <- gl(10, 100)

lm.lis <- vector("list", 10)
for (i in 1:10) {

     lm.lis[[i]] <- lm(y ~ x, subset = f == as.character(i)) }

sapply(lm.lis, coef)
sapply(lm.lis, fitted)

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


Quoting Chip Barnaby <cbarnaby_at_wrightsoft.com>:

> Hello,
>
> I would like to create a subscriptable collection (presumably a list)
> of lm() models.
>
> I have a data frame DX containing 6 groups of data. The general idea
> is (NOT RUN) ...
>
> for (i in 1:6)
> { DXS = subset( DX, <whatever>);
> LMX[ i] = lm( <formula>, data = DXS);
> }
>
> Now access model results by subscript ... e.g. coefficients( LMX[ 2]).
> Or would it be [[ 2]]?
>
> I have experimented with various schemes, attempting to "pre-allocate"
> a list etc. without success.
>
> Also, I assume that lm() does not make a copy of input data? That is,
> if I want "predict( LMX[ i])", I would have to retain a copy the
> associated DXS subsets?
>
> TIA,
>
> Chip Barnaby
>
>
>
> ---------------------------------------------------------
> Chip Barnaby cbarnaby_at_wrightsoft.com
> Vice President of Research
> Wrightsoft Corp. 781-862-8719 x118 voice
> 131 Hartwell Ave 781-861-2058 fax
> Lexington, MA 02421 www.wrightsoft.com
>
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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. Received on Mon 12 May 2008 - 14:11:47 GMT

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