OC in R Software and Examples
Royce Carroll, Jeff Lewis, James Lo,
Keith Poole, and Howard Rosenthal
Updated 2 November 2012 (Under Construction)
Download oc:Optimal
Classification Roll Call Analysis Software for R
Vignettes of package optimal classification -- From the R Package (PDF). Explains the package and
shows examples.
oc_in_R_2010.r -- R program that runs
Optimal Classification on the
111th Senate -- S111_DEC_18B.ORD, and
writes the legislator and roll call coordinates to disk. Makes a plot of the legislators and a plot of the Coombs Mesh.
Program uses
Simon Jackman's
pscl package
function READKH(..) to read the roll call file.
s111_dec_18b.ORD -- Roll Call matrix read by R
program (111th Senate through 18 December 2010).
oc_111_RC_679.r -- R program that runs
Optimal Classification, writes the legislator and roll call coordinates to disk, and makes a two panel plot showing a
roll call vote. The first plot shows how the legislators voted (red for YEA, blue for NAY), and the second plot shows
only the errors. Program
uses s111_dec_18b.ORD.
oc_annenberg_2.r -- R program that reads a text file, puts file
through
"rollcall" in pscl,
runs
Optimal Classification, writes the legislator and roll call coordinates to disk, and makes a two panel plot showing a
roll call vote. The first plot shows how the legislators voted (red for YEA, blue for NAY), and the second plot shows
only the errors. Program
uses the text file Annenberg_Panel_2.dat.
oc_example_tabs.r -- R program that reads a tab deliminated file
(that has been entered transposed -- the roll calls are rows),
puts file through
"rollcall" in pscl,
runs
Optimal Classification, writes the legislator and roll call coordinates to disk, and makes a two panel plot showing
the "legislators" and the "roll calls" with arrows on the cutting lines indicated the direction of a YEA vote. The
plots also illustrate the placement of two or more letter tokens with control over the positioning of the tokens. Program
uses the tab delimited file Example_Tabs.txt.
oc_in_R_H112_animation.r -- R program that reads
a roll call file in ORD format, puts file through
"rollcall" in pscl,
runs Optimal Classification, writes the legislator and roll call coordinates to disk, and makes a two panel plot
showing the Legislators and the Coombs Mesh, and then writes jpegs to disk of the cutting lines. These jpegs can
then be used in any animation program to produce an animation of the Coombs Mesh being filled in. An example
is shown on The Voteview Blog -- namely,
this post on the
early 112th House. Program uses
the file HOU112KH.ORD.
oc_in_R_2011_test.r -- R program that reads an
ORD file,
"rollcall" in pscl,
runs Optimal Classification, writes the legislator and roll call coordinates to disk, and makes a two panel plot showing
the legislators and the roll calls with arrows on the cutting lines indicated the direction of a YEA vote. The
Program uses
the file SEN112KH.ORD.
oc_wnom_in_R_2010.r -- R program that reads an
ORD file,
"rollcall" in pscl,
runs
Optimal Classification, writes the legislator and roll call coordinates to disk, and makes a two panel plot showing
the "legislators" and the "roll calls" with arrows on the cutting lines indicated the direction of a YEA vote. The
program then runs W-NOMINATE
(see the W-NOMINATE in R Examples Page). Program writes the roll call and legislator
coordinates out in fixed record format and shows simple commands to count the constrained roll calls. Program uses
the file SEN500.ORD.
oc_text_files.r -- R program that reads a text file using the
function read.txt <- function(rc.file) {.....}, passes the matrix to
"rollcall" in pscl,
and runs Optimal Classification. Program also includes the function
votetotals <- function(rcdta,minminority=0.025) {...} that checks for roll calls with a pre-set minimum number
of legislators in the minority. Program uses
the file AZ_2001.TXT.
To see how OC works in one dimension, go to this page:
How Optimal Classification Works in One Dimension
To see how OC works in two or more dimensions, go to this page:
How Optimal Classification Works in Two or More Dimensions (Under Construction)
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
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