[R] what happens when I store linear models in an array?

Andrew Robinson A.Robinson at ms.unimelb.edu.au
Wed May 4 15:02:57 CEST 2011


Hi Andrew,

try

fitted(lms.ASP[1,1][[1]])

Cheers

Andrew

On Wed, May 04, 2011 at 01:49:45PM +0200, Andrew D. Steen wrote:
> I've got a bunch of similar datasets, all of which I've fit to linear
> models.  I'd like to easily create arrays of a specific parameter from each
> linear model (e.g., all of the intercepts in one array).  I figured I'd put
> the model objects into an array, and then (somehow) I could easily create
> corresponding arrays of intercepts or residuals or whatever, but I can't the
> parameters back out.
> 
>  
> 
> Right now I've stored the model objects in a 2-D array:
> > lms.ASP <- array(list(), c(3,4))
> 
>  
> 
> Then I fill the array element-by-element:
> > surf105.lm. ASP <- lm(ASP ~ time)
> > lms.ASP[1,1] <- list(surf105.lm.ASP)
> 
>  
> 
> Something is successfully being stored in the array:
> > test <- lms.tx.ASP[1,1]
> > test
> [[1]]
> Call:
> lm(formula = ASP ~ time)
> Coefficients:
>      (Intercept)  elapsed.time..hr  
>      0.430732          0.004073  
> 
>  
> 
> But I can't seem to call extraction functions on the linear models:
> > fitted(lms.ASP[1,1])
> NULL
> 
>  
> 
> It seems like something less than the actual linear model object is being
> stored in the array, but I don't understand what's happening, or how to
> easily batch-extract parameters of linear models.  Any advice?
> 
>  
> 
>  
> 
> ____________________________________
> 
> Andrew D. Steen, Ph.D.
> 
> Center for Geomicrobiology, Aarhus University
> 
> Ny Munkegade 114
> DK-8000 Aarhus C
> Denmark
> Tel: +45 8942 3241
> Fax: +45 8942 2722
> 
> andrew.steen at biology.au.dk
> 
>  
> 
> 
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> 
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-- 
Andrew Robinson  
Program Manager, ACERA 
Department of Mathematics and Statistics            Tel: +61-3-8344-6410
University of Melbourne, VIC 3010 Australia               (prefer email)
http://www.ms.unimelb.edu.au/~andrewpr              Fax: +61-3-8344-4599
http://www.acera.unimelb.edu.au/

Forest Analytics with R (Springer, 2011) 
http://www.ms.unimelb.edu.au/FAwR/
Introduction to Scientific Programming and Simulation using R (CRC, 2009): 
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