Chapter Missing Data: slide 36: modeling p(r=0)

So on p36 Abad writes:

logit(P(r=0|class, sex) = 2.11 - 1.5 *class - 2.85*Y

2 questions:

1. Why is sex in the logit and not in the formula? Is it a type and should it read "r=0|class,survival instead?"

2. How do you get the parameters? I tried as follows:

In R:

titanic.missing.age.log=glm(data=titanic.missing2, rage~class+survived, family=binomial(link="logit")) with rage=0 if age missing, 1 otherwise

Result:

Call:
glm(formula = rage ~ class + survived, family = binomial(link = "logit"),
data = titanic.missing2)

Deviance Residuals:
Min 1Q Median 3Q Max
-1.4101 -1.1311 0.9614 0.9614 1.6805

Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 0.53206 0.07365 7.224 5.03e-13 ***
class -1.02300 0.14338 -7.135 9.69e-13 ***
survived -0.64189 0.12611 -5.090 3.58e-07 ***

Which is rather far away from where he is with the parameters...