Displaying 3 results from an estimated 3 matches for "woolb".
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wool
2012 Jul 27
1
Understanding the intercept value in a multiple linear regression with categorical values
...understand the value of the intercept value in a
multiple linear regression with categorical values. Taking the
"warpbreaks" data set as an example, when I do:
> lm(breaks ~ wool, data=warpbreaks)
Call:
lm(formula = breaks ~ wool, data = warpbreaks)
Coefficients:
(Intercept) woolB
31.037 -5.778
I'm able to understand that the value of intercept is the mean value
of breaks when wool equals "A", and that adding up the "woolB"
coefficient to the intercept value I get the mean value of breaks when
wool equals "B". However, if I also...
2012 Jun 13
1
Tukey Kramer with ANOVA (glm)
Hello,
I am performing a BACI analysis with ANOVA using the following glm:
fit1<-glm(log(Cucs_m+1)~(BA*Otter)+BA+Otter+ID+Primary, data=b1)
The summary(aov(fit1)) shows significance in the interaction; however, now I
would like to determine what combinations of BA and Otter are significantly
different (each factor has two levels). ID and PRIMARY substrates are
categorical and included in
2008 Mar 04
2
Asking, are simple effects different from 0
Hello, R-i-zens. I'm working on an data set with a factorial ANOVA
that has a significant interaction. I'm interested in seeing whether
the simple effects are different from 0, and I'm pondering how to do
this. So, I have
my.anova<-lm(response ~ trtA*trtB)
The output for which gives me a number of coefficients and whether
they are different from 0. However, I want the