The rcx dataset is a matrix containing DW-NOMINATE scores for members of the U.S. Congress. DW-NOMINATE scores are used
to measure the ideological positions of legislators based on their roll-call voting behavior.
Usage
data(rcx)Format
A data frame with the following 16 variables:
- cong
Congress number.
- id
Unique identifier for each member of Congress.
- state
State abbreviation for the member's state.
- dist
District number for House members, or 0 for Senators.
- lstate
Full name of the member's state.
- party
Political party affiliation (e.g., Democrat, Republican).
- name
Name of the member of Congress.
- dwnom1
The first dimension DW-NOMINATE score, typically representing the liberal-conservative spectrum.
- dwnom2
The second dimension DW-NOMINATE score, often representing regional or other secondary factors.
- dwnom1bse
Standard error of the first dimension DW-NOMINATE score.
- dwnom2bse
Standard error of the second dimension DW-NOMINATE score.
- corrbse
Correlation between the first and second dimension standard errors.
- LogL
Log-likelihood of the legislator's votes under the DW-NOMINATE model.
- nchoice
Number of roll-call votes the legislator participated in.
- nerror
Number of classification errors (votes incorrectly predicted by the model).
- gmp
Geometric mean probability, a measure of fit for the DW-NOMINATE model.
Source
Data collected and processed using the DW-NOMINATE algorithm. For more details, see the DW-NOMINATE project website.
Details
The rcx dataset provides DW-NOMINATE scores for members of the U.S. Congress, which are commonly used to analyze
ideological alignment and voting behavior across different legislative sessions.
Examples
if (FALSE) { # \dontrun{
data(rcx)
} # }