LEGACY CONTENT. If you are looking for Voteview.com, PLEASE CLICK HERE

This site is an archived version of Voteview.com archived from University of Georgia on May 23, 2017. This point-in-time capture includes all files publicly linked on Voteview.com at that time. We provide access to this content as a service to ensure that past users of Voteview.com have access to historical files. This content will remain online until at least January 1st, 2018. UCLA provides no warranty or guarantee of access to these files.
Analyzing Spatial Models of Choice and Judgment with R


Chapter 4: Analyzing Similarities and Dissimilarities Data


Code Files:



double_center_nations.r: Metric multidimensional scaling of nations similarities data using double-centering (the Torgerson solution).

Dataset: nations.Rda



optim_nations.r: Metric multidimensional scaling of nations similarities data using numerical optimization.

Dataset: nations.Rda



smacof_metric_nations.r: Metric multidimensional scaling of nations similarities data using SMACOF.

Dataset: nations.Rda



smacof_metric_nations_missing.r: Metric multidimensional scaling of nations similarities data with missing data using SMACOF.

Dataset: nations.Rda



smacof_metric_nations_rotated.r: Metric multidimensional scaling of nations similarities data with missing data using SMACOF; rotates solution.

Dataset: nations.Rda



smacof_nonmetric_nations.r: Non-metric multidimensional scaling of nations similarities data using SMACOF.

Dataset: nations.Rda



smacof_nonmetric_nations_Procrustes_rotation.r: Non-metric multidimensional scaling of nations similarities data using SMACOF; performs Procrustes rotation.

Dataset: nations.Rda



smacof_metric_nonmetric_senate_90.r: Metric and non-metric multidimensional scaling of 90th Senate agreement score data using SMACOF; generates Shepard diagrams.

Dataset: senate.90.Rda



JAGS_mds_nations.r: Bayesian multidimensional scaling of nations similarities data using JAGS.

Dataset: nations.Rda

JAGS model file: JAGS_mds_model.bug



smacof_indscal_2009_France.r: Individual differences multidimensional scaling of the 2009 European Election Study (French module) Left-Right issue scale data.

Dataset: french.parties.individuals.Rda



Data for Exercises:



SupremeCourt.2011.Rda: 2011 US Supreme Court

CCES2010.GA10.Rda: 2010 Cooperative Congressional Election Study (Georgia 10th Congressional District)

CCES2010.GA10.bug: JAGS model file to analyze the 2010 Cooperative Congressional Election Study (Georgia 10th Congressional District)

CHES2010.France.Rda: 2010 Chapel Hill Expert Survey (French Module)


Supplemental Links:



William G. Jacoby and David A. Armstrong II. 2014. "Bootstrap Confidence Regions for Multidimensional Scaling Solutions." American Journal of Political Science 58(1): 264-278.

JAGS (Just Another Gibbs Sampler)

rjags package for R


Book Chapters

Analyzing Spatial Models of Choice and Judgment with R
Chapter 1: Introduction
Chapter 2: The Basics of R
Chapter 3: Analyzing Issue Scales
Chapter 4: Analyzing Similarities and Dissimilarities Data
Chapter 5: Unfolding Analysis of Rank Order and Ratio Scale Data
Chapter 6: Analyzing Legislative Roll Call (Binary Choice) Data
Chapter 7: Advance Topics



Site Links

VOTEVIEW Blog
NOMINATE Data, Roll Call Data, and Software
Course Web Pages: University of Georgia (2010 - )
Course Web Pages: UC San Diego (2004 - 2010)
University of San Diego Law School (2005)
Course Web Pages: University of Houston (2000 - 2005)
Course Web Pages: Carnegie-Mellon University (1997 - 2000)
Analyzing Spatial Models of Choice and Judgment with R
Spatial Models of Parliamentary Voting
Recent Working Papers
Analyses of Recent Politics
About This Website
K7MOA Log Books: 1960 - 2017
Bio of Keith T. Poole
Related Links