plot.blackbt: Blackbox Transpose Coordinate Distribution Plot
In basicspace: Recovering a Basic Space from Issue Scales

plot.blackbt

R Documentation

Blackbox Transpose Coordinate Distribution Plot

Description

plot.blackbt reads an blackbt object and plots the probability distribution of the respondents and stimuli.

Usage

## S3 method for class 'blackbt'
plot(x, xlim=c(-1,1), ...)

Arguments

`x`	an `blackbt` output object.
`xlim`	vector of length 2, fed to the `plot` function as the `xlim` argument, which sets the minimum and maximum range of the x-axis.
`...`	other arguments to `plot`.

Value

A plot of the probability distribution of the respondent ideal points, along with the locations of the stimuli.

Author(s)

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

Examples

  ### Loads and scales the Liberal-Conservative scales from the 1980 ANES.
  data(LC1980)
  LCdat <- LC1980[,-1]	#Dump the column of self-placements

   
  LC1980_bbt <- blackbox_transpose(LCdat, missing=c(0,8,9), dims=3, 
    minscale=5, verbose=TRUE)
  
  ### 'LC1980_bbt' can be retrieved quickly with: 
  data(LC1980_bbt)

  summary(LC1980_bbt)
  plot(LC1980_bbt)

basicspace documentation built on April 4, 2025, 1:26 a.m.