Hi All,
Thanjuvar wrote:
>> model2<-lm(lavi~age+sex+age*race+diabetes+hypertension, data=tb1)
David wrote:
>> in the second equation you are only including the interaction of
>> age*race,
>> the main effect of age, but not the main effect of race which is what
>> came out significant
>> in y
a*b is not an interaction term. An interaction term looks like a:b.
y~age*race means
y~age+race+age:race.
For
TB> model1<-lm(lavi~age+sex+race+diabetes+hypertension, data=tb1)
TB> model2<-lm(lavi~age+sex+age*race+diabetes+hypertension, data=tb1)
both main effects are present in model 2 (below) a
Thanjavur,
I'm new to R, so it is possible I'm interpreting you syntax
incorrectly, but it looks like in the second equation you are only
including the interaction of age*race, the main effect of age, but
not the main effect of race which is what came out significant in your
first model.
In effec
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