[R-sig-ME] Don't understand this variance components output
Stuart Luppescu
slu at ccsr.uchicago.edu
Wed Jan 29 02:06:37 CET 2014
Hello, I'm analyzing ratings of teacher performance on 9 components.
Each teacher is rated between 1 and 6 times. The average number of
ratings per teacher is about 3.5. The structure of the data is (teachers
nested within observations) crossed by components. The lmer call is:
lme6 <- lmer(rating ~ (1|tid.f) + (1|comp.f) + (1|tid.f/obsorder.f),
data=ratings, REML=FALSE)
The outcome is rating; tid.f is the teacher ID; comp.f is the component
ID; obsorder.f is the observation. Here is the summary output:
Random effects:
Groups Name Variance Std.Dev.
obsorder.f.tid.f (Intercept) 0.06574 0.2564
tid.f (Intercept) 0.16309 0.4038
tid.f.1 (Intercept) 0.03498 0.1870
comp.f (Intercept) 0.01589 0.1261
Residual 0.19696 0.4438
Number of obs: 166405, groups: obsorder.f:tid.f, 18496; tid.f, 5486;
comp.f, 9
Fixed effects:
Estimate Std. Error t value
(Intercept) 2.82680 0.04252 66.49
What I don't get is the line in the list of random effects labeled
tid.f.1. What is this? Am I not specifying the model correctly?
Here is my sessionInfo:
R version 3.0.2 (2013-09-25)
Platform: x86_64-redhat-linux-gnu (64-bit)
locale:
[1] LC_CTYPE=en_US LC_NUMERIC=C LC_TIME=en_US
[4] LC_COLLATE=en_US LC_MONETARY=en_US LC_MESSAGES=en_US
[7] LC_PAPER=en_US LC_NAME=C LC_ADDRESS=C
[10] LC_TELEPHONE=C LC_MEASUREMENT=en_US LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods
base
other attached packages:
[1] plyr_1.8 reshape2_1.2.2 MCMCglmm_2.17 corpcor_1.6.6
[5] ape_3.0-11 coda_0.16-1 tensorA_0.36 MASS_7.3-29
[9] foreign_0.8-59 lme4_1.0-5 Matrix_1.1-1.1 lattice_0.20-24
loaded via a namespace (and not attached):
[1] compiler_3.0.2 grid_3.0.2 minqa_1.2.2 nlme_3.1-113
splines_3.0.2
[6] stringr_0.6.2 tools_3.0.2
Thanks very much for the help.
--
Stuart Luppescu <slu at ccsr.uchicago.edu>
More information about the R-sig-mixed-models
mailing list