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data2004
2012 Nov 22
0
Mixed models and learning curves
...n modelling the time to perform the task (prod.time)versus the replication number (Trial-in the dataset), the previous experience (factor) and their interaction. As random effect I have been using the subjects.
> ma<-lme(prod.time~Trial+Previous.experience+Trial*Previous.experience, data= Data27_04, random=~1|Student, method="ML")
> summary(ma)
Linear mixed-effects model fit by maximum likelihood
Data: Data27_04
AIC BIC logLik
1517.445 1541.259 -750.7226
Random effects:
Formula: ~1 | Student
(Intercept) Residual
StdDev: 7.337648 42.42332
Fixed effect...