On May 4, 2011, at 4:49 AM, 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])
NUL
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?
The problem is that the "[" function is returning a sublist from that
array of lists, which is still a list. You wanted the contents of the
first (and only) element of that list and Andrew Robinson offered you
the solution.
--
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
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