# Attach the data frame
data(turnout)
## Generating empirical estimates:
z.out1 <- zelig(vote ~ age + race, model = "logit", data = turnout)
## Using setx to generate baseline and alternative velus for the
## explanatory variables.
x.out1 <- setx(z.out1, age = 36, race = "white")
x.out1
## Simulating quantities of interest (predicted probabilites, risk
## ratios, and risk differences):
s.out1 <- sim(z.out1, x = x.out1)
# Summary of fitted statistical model
summary(z.out1)
# Summary of simulations of quantities of interest
summary(s.out1)
# Plot simulations of quantities of interest
plot(s.out1)
## Example 2: First Differences
# Fit the statistical model
z.out2 <- zelig(vote ~ race + educate, model = "logit", data = turnout)
# Set alternate values
x.high <- setx(z.out2, educate = quantile(turnout$educate, prob = 0.75))
x.low <- setx(z.out2, educate = quantile(turnout$educate, prob = 0.25))
s.out2 <- sim(z.out2, x = x.high, x1 = x.low)
# Summary of the fitted model
summary(z.out2)
# Summary of the simulated quantities of interest
summary(s.out2)
# Plot of the simulated quantities of interest
plot(s.out2)
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