trace plot of MCMC iterates, posterior density of legislators' ideal points
Produces a trace plot of the MCMC samples from the posterior density of
legislators' ideal points.
tracex(object, legis=NULL, d=1, conf.int=0.95,
multi = FALSE, burnin=NULL,span=.25,
legendLoc="topright")object |
an object of class |
legis |
a vector of either the names of legislators (or
|
d |
numeric, either a scalar or a vector of length two, the dimension(s) to be traced. |
conf.int |
numeric, the level of the confidence interval on the posterior mean to be plotted. |
multi |
logical, multiple plotting panels, one per legislators? If |
burnin |
of the recorded MCMC samples, how many to discard as
burnin? Default is |
span |
numeric, a proportion, the |
legendLoc |
numeric or character, and possibly a vector,
specifying where to place the legend when |
Produces a trace plot showing the history of the MCMC
iterations for the ideal point of each of the legislators (partially)
named in legis. For d=1, each trace plot includes a
trace over iterations, the cumulative mean, a moving average, the
MCMC-based estimate of the mean of the posterior, and a confidence
interval (specified by conf.int) around the mean of the
posterior (using the estimated quantiles) of
the respective MCMC iterates). All of these values are calculated
discarding the initial burnin iterations.
When d is a vector of length two, a 2-dimensional trace plot is
displayed, with the d[1] dimension on the horizontal axis, and
the d[2] dimension on the vertical axis.
When d=1, a legend will be placed on the plot; the option
legendLoc controls the placing of the legend. legendLoc
may be a vector, specifying a unique legend location for each
requested trace plots. If
legendLoc is of length 1, it will be replicated
to have length equal to the number of requested trace plots.
data(s109)
f <- system.file("extdata","id1.rda",package="pscl")
load(f)
tracex(id1,legis="KENN")
## n.b., no such legislator named Thomas Bayes
tracex(id1,legis=c("KENN","BOX","KYL","Thomas Bayes"))
f <- system.file("extdata","id2.rda",package="pscl")
load(f)
tracex(id2,d=1,legis=c("KENNEDY","BOXER","KYL","Thomas Bayes"))
tracex(id2,d=2,legis=c("KENNEDY","BOXER","KYL","Thomas Bayes"))
tracex(id2,d=1:2,
legis=c("KENNEDY","BOXER","KYL","Thomas Bayes"))
## partial matching
tracex(id2,d=1:2,
legis=c("KENN","BOX","BID","SNO","SPEC","MCCA","KYL",
"Thomas Bayes"),
multi=TRUE)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.