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558158
2001 Nov 27
0
lme on large data frames
...ch is probably larger than necessary for this model, and would
slow down the fitting.
As expected when you have this many observations, all the fixed
effects are statistically significant.
> summary(fm1)
Linear mixed-effects model fit by REML
Data: dallas
AIC BIC logLik
2557954 2558158 -1278958
Random effects:
Formula: ~1 | ids
(Intercept) Residual
StdDev: 12.90782 7.742589
Fixed effects: tli ~ year + grade + sex + ethnicity
Value Std.Error DF t-value p-value
(Intercept) 68.47575 0.0683054 196971 1002.4933 <.0001
year.L 10.17203 0.0710...