Displaying 1 result from an estimated 1 matches for "ild4l".
2007 Jan 22
0
R interpretation
...the correct model for my data- a mixed-effects design, with
subject as a random factor and session (pre vs post) nested within group
(trained vs control).
I am confused about the output. The summary command gives me this table:
> D.lme<- lme(score~GROUP/session, random=~1|subject, data=ILD4L )
> summary(D.lme)
Linear mixed-effects model fit by REML
Data: ILD4L
Subset: EXP == "F"
AIC BIC logLik
-63.69801 -45.09881 37.84900
Random effects:
Formula: ~1 | subject
(Intercept) Residual
StdDev: 0.1032511 0.1727145
Fixed effects:...