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
) 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)
Århus University
in advance.
Kim Mouridsen.
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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 Mouridsen
)
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 Mouridsen
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
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
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
