Thanks for your response, John. That was helpful.
I was using Type III from Anova() as a comparison to some results I had
obtained JMP, which I've lost access to and have moved on to R, and I was
confused by the error. Given that I do have a continuous covariate, the
analyses are not likely
Dear Justin,
On Mon, 18 Jun 2012 11:24:33 -0400
Justin Montemarano jmont...@kent.edu wrote:
Thanks for your response, John. That was helpful.
I was using Type III from Anova() as a comparison to some results I had
obtained JMP, which I've lost access to and have moved on to R, and I was
Dear Justin,
anova() and Anova() are entirely different functions; the former is part of the
standard R distribution and the second part of the car package. By default,
Anova() produces an error for type-III tests conducted on rank-deficient models
because the hypotheses tested aren't
Hello all:
I am confused about the output from a lm() model with an incomplete
design/missing level.
I have two categorical predictors and a continuous covariate (day) that
I am using to model larval mass (l.mass):
leaf.species has three levels - map, syc, and oak
cond.time has two levels -
4 matches
Mail list logo