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\name{plot.boot_blackbt}
\alias{plot.boot_blackbt}
\title{ Bootstrapped Blackbox Transpose Stimulus Plots }
\description{
\code{plot.boot_blackbt} reads an \code{boot_blackbt} object and plots a dotchart of the stimuli with estimated confidence intervals.
}
\usage{
\method{plot}{boot_blackbt}(x, \ldots)
}
\arguments{
\item{x}{ an \code{boot_blackbt} output object. }
\item{...}{ other arguments to \code{plot}.}
}
\value{
A dotchart of estimated stimulus locations, with 95 percent confidence intervals. Point estimates are estimates from the original data set.
}
\author{
Keith Poole \email{ktpoole@uga.edu}
Howard Rosenthal \email{hr31@nyu.edu}
Jeffrey Lewis \email{jblewis@ucla.edu}
James Lo \email{lojames@usc.edu}
Royce Carroll \email{rcarroll@rice.edu}
Christopher Hare \email{cdhare@ucdavis.edu}
}
\references{
David A. Armstrong II, Ryan Bakker, Royce Carroll, Christopher Hare, Keith T. Poole, and Howard Rosenthal. 2021. \emph{Analyzing Spatial Models of Choice and Judgment}. 2nd ed. Statistics in the Social and Behavioral Sciences Series. Boca Raton, FL: Chapman & Hall/CRC. doi: 10.1201/9781315197609
Keith T. Poole, Jeffrey B. Lewis, Howard Rosenthal, James Lo, and Royce Carroll. 2016. ``Recovering a Basic Space from Issue Scales in R.'' \emph{Journal of Statistical Software} 69(7): 1-21. doi:10.18637/jss.v069.i07
Keith T. Poole. 1998. ``Recovering a Basic Space From a Set of Issue Scales.'' \emph{American Journal of Political Science} 42(3): 954-993. doi: 10.2307/2991737
}
\seealso{
'\link{blackbox_transpose}', '\link{boot_blackbt}'.
}
\examples{
### Loads the Liberal-Conservative scales from the 1980 ANES.
data(LC1980)
data <- LC1980[,-1] #Dump the column of self-placements
\donttest{
bootbbt <- boot_blackbt(data, missing=c(0,8,9), dims=1,
minscale=8, iter=10)
}
### 'bootbbt' can be retrieved quickly with:
data(bootbbt)
plot.boot_blackbt(bootbbt)
}
\keyword{ multivariate }