Dear all,
I was wondering if you could give me any suggestions/help on the following
issue. So I carried out the analysis of my data using generalized linear
model (glm). After that, to check for multiple comparisons, I applied the
glht function from the multcomp package in R. The output, however, gave me a
warning (please see below). So my question is whether this warning is smth
that I should ignore or not. And if not, what I should do about it (I kind
of know how to deal with this problem for categorical factors, however, in
my data, one of the factors (AveScore) is continuous).
Thanks a lot!
Yuliia
Simultaneous Tests for General Linear Hypotheses
Multiple Comparisons of Means: Tukey Contrasts
Fit: glm(formula = EW1 ~ AveScore + Speaker + File + factor(Bplace) +
factor(Sex) + AveScore:File, family = binomial(link = "logit"),
data = data.0)
Linear Hypotheses:
Estimate Std. Error z value Pr(>|z|)
In - A == 0 -0.9055 0.3573 -2.534 0.0302 *
O - A == 0 -2.5638 0.3917 -6.545 <0.001 ***
O - In == 0 -1.6584 0.3766 -4.404 <0.001 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
(Adjusted p values reported -- single-step method)
*Warning message: In mcp2matrix(model, linfct = linfct) : covariate
interactions found -- default contrast might be inappropriate*
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