Hi:
On Thu, Dec 23, 2010 at 4:37 PM, Tautz, Art ENV:EX <art.ta...@gov.bc.ca>wrote:
> Dear list
>
> I am sorry to have to ask this question, but I have not been able to
> find a solution to what seems a simple problem. I have created a
> lattice plot of
> a number of regression points and lines using a function containing
> panel.xyplot and panel.lmline. The result is what is expected , but I
> cannot figure out how to obtain the coefficients of each of the
> regression lines. Any help would be appreciated.
>
Here's one (albeit roundabout) way to get the coefficients using the lsfit()
function, assuming that we're discussing simple linear regression; you need
to adapt it a bit if you want multiple regression.
dd <- data.frame(gp = factor(rep(LETTERS[1:10], each = 50)),
x = rnorm(500, 10, 5),
y = rep(1:10, each = 50) + 2 * rnorm(500, 10, 5) + rnorm(500, 0,
0.5))
sl <- split(dd[, -1], dd$gp)
do.call(rbind, lapply(sl, function(d) lsfit(d$x, d$y)$coef))
or more simply, using package plyr,
library(plyr)
ddply(dd, .(gp), function(d) lsfit(d$x, d$y)$coef)
HTH,
Dennis
>
> Art Tautz
> Science Advisor
> 2202 Main Mall UBC
> Ministry of Environment
> University of British Columbia
> Vancouver BC Canada V6T 1Z4
> Phone 604-222-6763
>
>
>
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>
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