sen90wnom {wnominate}R Documentation

90th U.S. Senate Ideal Points

Description

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

Usage

data(sen90wnom)

Value

An object of class nomObject, which in this documentation is also referred to as a W-NOMINATE object.

legislators data frame, containing all data from the old nom33.dat file about legislators. For a typical W-NOMINATE object 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.
    correctYea
    Predicted Yeas and Actual Yeas.
    wrongYea
    Predicted Yeas and Actual Nays.
    wrongNay
    Predicted Nays and Actual Yeas.
    correctNay
    Predicted Nays and Actual Nays.
    GMP
    Geometric Mean Probability.
    PRE
    Proportional Reduction In Error.
    coord1D
    First dimension W-NOMINATE score, with all subsequent dimensions numbered similarly.
    se1D
    Bootstrapped standard error of first dimension W-NOMINATE score, with all subsequent dimensions numbered similarly. This will be empty if trials is set below 4.
    corr.1
    Covariance between first and second dimension W-NOMINATE score, with all subsequent dimensions numbered similarly.
rollcalls data frame, containing all data from the old nom33.dat file about bills. For a typical W-NOMINATE object run with an ORD file read using readKH, it will contain the following:
    correctYea
    Predicted Yeas and Actual Yeas.
    wrongYea
    Predicted Yeas and Actual Nays.
    wrongNay
    Predicted Nays and Actual Yeas.
    correctNay
    Predicted Nays and Actual Nays.
    GMP
    Geometric Mean Probability.
    PRE
    Proportional Reduction In Error.
    spread1D
    First dimension W-NOMINATE spread, with all subsequent dimensions numbered similarly.
    midpoint1D
    First dimension W-NOMINATE midpoint, with all subsequent dimensions numbered similarly.
dimensions integer, number of dimensions estimated.
eigenvalues A vector of roll call eigenvalues.
beta The beta value used in the final iteration.
weights A vector of weights used in each iteration.
fits A vector of length 3*dimensions with the classic measures of fit. In order, it contains the correct classifications for each dimension, the APREs for each dimension, and the overall GMPs for each dimension.

Author(s)

Keith Poole kpoole@ucsd.edu

Jeffrey Lewis jblewis@ucla.edu

James Lo jameslo@ucla.edu

Royce Carroll rcarroll@ucsd.edu

Source

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

See Also

'wnominate'.

Examples

    #This data file is the same as that obtained using:
    #data(sen90)
    #sen90wnom<-wnominate(sen90,polarity=c(2,5))
    data(sen90wnom)
    
    summary(sen90wnom)
    plot(sen90wnom)

[Package wnominate version 0.94 Index]