Thanks!
I think the minor differences taking the values with
rnorm result of the homogen distribution without an
effect. But the results of aov and lme should be
similiar for data with effects, too (at least for
simple and balanced designs).
Karl
--- Pascal A. Niklaus [EMAIL PROTECTED]
schrieb:
Dear R-community!
I still have the problem reproducing the following
example using lme.
id-factor(rep(rep(1:5,rep(3,5)),3))
factA - factor(rep(c(a1,a2,a3),rep(15,3)))
factB - factor(rep(c(B1,B2,B3),15))
Y-numeric(length=45)
Y[ 1: 9]-c(56,52,48,57,54,46,55,51,51)
Karl Knoblick wrote:
Dear R-community!
I still have the problem reproducing the following
example using lme.
id-factor(rep(rep(1:5,rep(3,5)),3))
factA - factor(rep(c(a1,a2,a3),rep(15,3)))
factB - factor(rep(c(B1,B2,B3),15))
Y-numeric(length=45)
Y[ 1: 9]-c(56,52,48,57,54,46,55,51,51)
