[R] lmer, gamma family, log link: interpreting random effects
Andrew Robinson
A.Robinson at ms.unimelb.edu.au
Sun Dec 10 21:21:47 CET 2006
Dear all,
I'm curious about how to interpret the results of the following code.
The first model is directly from the help page of lmer; the second is
the same model but using the Gamma family with log link. The fixed
effects make sense, because
y = 251.40510 + 10.46729 * Days
is about the same as
log(y) = 5.53613298 + 0.03502057 * Days
but the random effects seem quite disproportionate. Am I missing
something obvious, or is this a bug?
Cheers
Andrew
> require(lme4)
> fm1 <- lmer(Reaction ~ Days + (Days|Subject), sleepstudy)
> fixef(fm1)
(Intercept) Days
251.40510 10.46729
> ranef(fm1)
An object of class "ranef.lmer"
[[1]]
(Intercept) Days
308 2.2713451 9.1966961
309 -40.3825921 -8.6223099
310 -38.9403378 -5.4521894
330 23.6656443 -4.8100611
331 22.2391295 -3.0662861
332 9.0324969 -0.2709760
333 16.8277808 -0.2214775
334 -7.2256113 1.0733822
335 -0.3503176 -10.7492136
337 34.8784025 8.6302064
349 -25.1898574 1.1699674
350 -13.0500361 6.6107496
351 4.5697621 -3.0138529
352 20.8539011 3.5376139
369 3.2744289 0.8723798
370 -25.5865985 4.8179542
371 0.8049003 -0.9877807
372 12.3075594 1.2851975
> fm1.g.log <- lmer(Reaction ~ Days + (Days|Subject), sleepstudy, family=Gamma(link="log"))
> fixef(fm1.g.log)
(Intercept) Days
5.53613298 0.03502057
> ranef(fm1.g.log)
An object of class "ranef.lmer"
[[1]]
(Intercept) Days
308 6.817799e-10 4.462209e-09
309 -1.367226e-09 -6.921681e-09
310 -1.120295e-09 -5.303576e-09
330 1.173973e-10 -6.049948e-10
331 2.104704e-10 1.531865e-10
332 1.501432e-10 6.721697e-10
333 3.048322e-10 1.103687e-09
334 -6.193655e-11 -7.056224e-11
335 -7.539673e-10 -4.999876e-09
337 1.263556e-09 6.502735e-09
349 -3.974501e-10 -1.294252e-09
350 2.112016e-10 2.125564e-09
351 -1.220139e-10 -1.095394e-09
352 6.412044e-10 3.215876e-09
369 1.231353e-10 6.292502e-10
370 -1.520576e-10 4.003904e-10
371 -5.220764e-11 -4.587212e-10
372 3.234287e-10 1.484018e-09
--
Andrew Robinson
Department of Mathematics and Statistics Tel: +61-3-8344-9763
University of Melbourne, VIC 3010 Australia Fax: +61-3-8344-4599
http://www.ms.unimelb.edu.au/~andrewpr
http://blogs.mbs.edu/fishing-in-the-bay/
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