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basicspace (version 0.25)

plot.blackbox: Blackbox Coordinate Distribution Plot

Description

plot.blackbox reads an blackbox object and plots a histogram of the estimated intercepts.

Usage

# S3 method for blackbox
plot(x, ...)

Value

A histogram of the estimated intercepts.

Arguments

x

an blackbox output object.

...

other arguments to hist.

Author

Keith Poole ktpoole@uga.edu

Howard Rosenthal hr31@nyu.edu

Jeffrey Lewis jblewis@ucla.edu

James Lo lojames@usc.edu

Royce Carroll rcarroll@rice.edu

Christopher Hare cdhare@ucdavis.edu

References

David A. Armstrong II, Ryan Bakker, Royce Carroll, Christopher Hare, Keith T. Poole, and Howard Rosenthal. 2021. 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.'' 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.'' American Journal of Political Science 42(3): 954-993. doi: 10.2307/2991737

See Also

'Issues1980', 'summary.blackbox', 'plot.blackbox'.

Examples

Run this code
  ### Loads issue scales from the 1980 ANES.
  data(Issues1980)
  Issues1980[Issues1980[,"abortion1"]==7,"abortion1"] <- 8	#missing recode
  Issues1980[Issues1980[,"abortion2"]==7,"abortion2"] <- 8	#missing recode

  # \donttest{ 
  Issues1980_bb <- blackbox(Issues1980, missing=c(0,8,9), verbose=FALSE, 
    dims=3, minscale=8)
  # }
  ### 'Issues1980_bb' can be retrieved quickly with: 
  data(Issues1980_bb)

  summary(Issues1980_bb)
  plot(Issues1980_bb)

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