plot.predict.ideal {pscl} | R Documentation |
Plot classification success rates by legislators, or by roll calls, using predictions from ideal.
plot.predict.ideal(x, type = c("legis", "votes"),...)
x |
an object of class predict.ideal . |
type |
string; one of legis or votes . |
... |
further arguments passed to or from other methods. |
type="legis"
produces a plot of the “percent correctly
predicted” for each legislator/subject
(using the classification threshold set in
predict.ideal
) against the estimated ideal point of each
legislator/subject (the estimated mean of the posterior density of the
ideal point), dimension at
a time. If the legislators' party affiliations are availble in the
rollcall
object that was passed to ideal
,
then legislators from the same party are plotted with a unique color.
type="votes"
produces a plot of classification rates for each
roll call, by the percentage of legislators voting for the losing
side. The x
-ordinate is jittered for clarity.
After drawing plots on the current device, exits silently returning invisible(NULL)
.
Simon Jackman jackman@stanford.edu
data(s109) id1 <- ideal(s109, d=1, normalize=TRUE, ## local identification in 1d store.item=TRUE, ## need this for predictions maxiter=500, ## short run for demo purposes burnin=100, thin=10) phat <- predict(id1) plot(phat,type="legis") plot(phat,type="votes")