oc (version 0.9)

sen90oc: 90th U.S. Senate Ideal Points via Optimal Classification

Description

This dataframe contains the estimated ideal points of the 90th U.S Senate using oc. Although it can easily be obtained from calling the example in oc, it is included here to facilitate illustration of the examples for the plot and summary functions.

Usage

data(sen90oc)

Value

• An object of class OCobject, with elements as follows:
• legislators
  data frame, containing all data from the old perf25.dat file about legislators. For a typical ocObject run with an ORD file read using readKH, it will contain the following:

  • state

  {State name of legislator.} icpsrState{ICPSR state code of legislator.} cd{Congressional District number.} icpsrLegis{ICPSR code of legislator.} party{Party of legislator.} partyCode{ICPSR party code of legislator.} rank{Rank ordering of legislator on the first dimension, from lowest to highest.} correctYea{Predicted Yeas and Actual Yeas.} wrongYea{Predicted Yeas and Actual Nays.} wrongNay{Predicted Nays and Actual Yeas.} correctNay{Predicted Nays and Actual Nays.} volume{Measure of the legislator's polytope size.} coord1D{First dimension OC score, with all subsequent dimensions numbered similarly.}

item

• rollcalls
• wrongYea
• wrongNay
• correctNay
• PRE
• normvector1D
• midpoints
• dimensions
• eigenvalues
• fits

code

readKH

itemize

• correctYea

source

Keith Poole. 2005. 90th Senate Roll Call Vote Data. http://www.voteview.com/.

See Also

'oc', 'plot.OCcoords', 'plot.OCskree', 'plot.OCangles', 'plot.OCcutlines', 'plot.OCobject'

Examples

#This data file is the same as that obtained using:
    #data(sen90)
    #sen90oc<-oc(sen90,dims=2,polarity=c(7,2)) 

    data(sen90oc)
    summary(sen90oc)
    plot(sen90oc)