Displaying 1 result from an estimated 1 matches for "bmc4".
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bmc
2008 Sep 22
1
lme problems
....02959 1.0782 0.3013
Residuals 113 3.10135 0.02745
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Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
I then wanted to compare this outcome with an lme, and used the model below. However, its outcome doesn't make much sense to me.
> bmc4<- lme(Mean1 ~ treatment*layingday, random = ~1|male.pair)
> summary(bmc4)
Linear mixed-effects model fit by REML
Data: NULL
AIC BIC logLik
-118.4522 -101.9306 65.22609
Random effects:
Formula: ~1 | male.pair
(Intercept) Residual
StdDev: 0.1313573 0.1185902
Fi...