summary.blackbt: Blackbox-Transpose Summary
In basicspace: Recovering a Basic Space from Issue Scales

summary.blackbt

R Documentation

Blackbox-Transpose Summary

Description

summary.blackbt reads an blackbt object and prints a summary.

Usage

  ## S3 method for class 'blackbt'
summary(object, ...)

Arguments

`object`	a `blackbt` output object.
`...`	further arguments to `print`.

Value

A summary of a blackbt object. For each dimension, reports all stimuli with coordinates, individuals used for scaling, and fit. Also summarizes number of rows, columns, total data entries, number of missing entries, percent missing data, and sum of squares.

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 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.