You would get more helpful replies if you indicated which among
MONTHS, CEXPOSE.M and bf.m were factors vs. covariates, and
for which factor or factors you wanted to test the simple slopes.
You will find that linearHypothesis in the car package can test these
things, and the effects package can
Can anyone show me how to test for significant simple slopes of a 3-way
interaction, with covariates.
my equation
tmod-(glm(PCL~ rank.f + gender.f + MONTHS + CEXPOSE.M + bf.m +
MONTHS*CEXPOSE.M*bf.m,
data=mhatv, family=gaussian ,na.action=na.omit))
Thank you
Mike
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On Nov 6, 2010, at 9:06 AM, Michael Wood wrote:
Can anyone show me how to test for significant simple slopes of a 3-
way
interaction, with covariates.
You might start by defining what you mean by simple slopes when
discussing a model with a three way interaction. You might also
include
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