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.st...@biology.au.dk > > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@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. -- 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): http://www.ms.unimelb.edu.au/spuRs/ ______________________________________________ R-help@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.
