fixed=y ~ A*B, random=~1|S)
>
> Thilo
>
> On Friday 12 January 2007 15:54, Kim Mouridsen wrote:
> > Dear R-users
> >
> > I'm considering a repeated measures experiment where two
> > within-subject factors A (2 levels) and B (3 levels) have been
> > meas
Dear R-users
I'm considering a repeated measures experiment where two
within-subject factors A (2 levels) and B (3 levels) have been
measured for each of 14 subjects, S. I wish to test the effect of
factor A. I know that a variance component model with random effects
S, S:A, S:B and S:A:B can be f
,penalty=3)
With the MARS program I would get GCV values of approximately 0.11 but
with R I get 0.15. The corresponding reduction in area under the
operator characteristics curve (AUC) is from 0.83 to 0.70.
What am I doing wrong?
Thanks in advance!
Kim
le in R
to combine the three dose-response models into a single model to get an
overall estimate of the effect of age?
Can I do something like
lr <- glm(vom ~ therapy*age + therapy*gender +
therapy*cisdose+therapy*cardose+therapy*cycdose,family=binomial,data=emrisk)
Thanks in advance!
Kim M
in advance.
Kim Mouridsen.
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screen or file) if I run
f.ex qqnorm afterwards.
What am I doing wrong and how do I get R to print graphics on the screen
as ususal?
Thanks in advance for your help.
Kim.
----
Kim Mouridsen
M.Sc., Ph.D student
Center for Functionally Integrative Neuroscience (CFIN)
Ã…rhus
The Jonckheere-Terpstra test is a distribution-free test for ordered
alternatives in a one-way layout. More specifically, assume
X_ij = m + t_j + e_ij, i=1,...,n_j and j=1,...,k,
where the errors are idependent and identically distributed. Then you
can use the Jonckheere-Terpstra to test