R/data-houseVotes84.R

# PMML: Predictive Model Markup Language
#
# Copyright (c) 2009-2016, Zementis, Inc.
# Copyright (c) 2016-2021, Software AG, Darmstadt, Germany and/or Software AG
# USA Inc., Reston, VA, USA, and/or its subsidiaries and/or its affiliates
# and/or their licensors.
#
# This file is part of the PMML package for R.
#
# The PMML package is free software: you can redistribute it and/or
# modify it under the terms of the GNU General Public License as
# published by the Free Software Foundation, either version 3 of
# the License, or (at your option) any later version.
#
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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#' Modified 1984 United States Congressional Voting Records Database
#'
#' This data set includes votes for each of the U.S. House of Representatives
#' Congressmen on the 16 key votes identified by the CQA.  The CQA lists nine
#' different types of votes: voted for, paired for, and announced for (these
#' three simplified to yea), voted against, paired against, and announced
#' against (these three simplified to nay), voted present, voted present to
#' avoid conflict of interest, and did not vote or otherwise make a position
#' known (these three simplified to an unknown disposition).  Originally
#' containing a binomial variable "class" and 16 other binary variables, those
#' 16 variables have been renamed to simply "V1","V2",...,"V16".
#'
#'
#' @name houseVotes84
#'
#' @docType data
#'
#' @format A data frame containing: \tabular{ll}{ Class \tab Boolean variable
#' \cr V1 \tab Boolean variable \cr V2 \tab Boolean variable \cr V3 \tab
#' Boolean variable \cr V4 \tab Boolean variable \cr V5 \tab Boolean variable
#' \cr V6 \tab Boolean variable \cr V7 \tab Boolean variable \cr V8 \tab
#' Boolean variable \cr V9 \tab Boolean variable \cr V10 \tab Boolean variable
#' \cr V11 \tab Boolean variable \cr V12 \tab Boolean variable \cr V13 \tab
#' Boolean variable \cr V14 \tab Boolean variable \cr V15 \tab Boolean variable
#' \cr V16 \tab Boolean variable \cr }
#' @references
#'
#' \href{http://archive.ics.uci.edu/ml/datasets/Congressional+Voting+Records}{UCI
#' Machine Learning Repository}
#'
#' @keywords datasets
#'
#' @examples
#' data(houseVotes84, package = "pmml")
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pmml documentation built on March 18, 2022, 5:49 p.m.