# interpret Alleffects() from effects package [duplicate]

I have this example logit model where some of the variables are factors but I'm not too sure how to interpret the effects. If I understand logit models correctly the coefficients that we get from the fitted model are the change in log-odds per unit change in the explanatory variable holding everything else constant.

If take the exp() of the coefficients then I have the odds. I'm interested in the impact over the probability of some cathegorical variable to be "male" or "female" for instance. Could you please help me understand this? if allEffects() is not what I'm looking for, could you please let me know how could I get them?

library(effects)

titanic <- glm(survived ~ passengerClass + sex + age,data=Titanic,
family=binomial)
titanic.all <- allEffects(titanic, typical=median,
given.values=c(passengerClass2nd=1/3,
passengerClass3rd=1/3, sexmale=0.5))
plot(titanic.all,
ticks=list(at=c(.01, .05, seq(.1, .9, by=.2), .95, .99)),

EDIT: I don't think it is a duplicate. I'm interested in the output of the package effects, in particular in the output of the function allEffects.
• @whuber thanks for the link. I'm particularly interested in the effects package. What is exactly the interpretation of allEffects()function? Apr 18 '13 at 20:35