R/data.R

In logisticPCA: Binary Dimensionality Reduction

#' @title United States Congressional Voting Records 1984
#' 
#' @description 
#' 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).
#'
#' @format A matrix with all binary or missing entries. There are 435 rows corresponding
#' members of congress and 16 columns representing the bills being voted on. The row 
#' names refer to the political party of the members of congress
#'
#' @source 
#' Congressional Quarterly Almanac, 98th Congress, 
#' 2nd session 1984, Volume XL: Congressional Quarterly Inc., 
#' Washington, D.C., 1985
#' 
#' Data converted to a matrix from:
#' 
#' Lichman, M. (2013). UCI Machine Learning Repository 
#' [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, 
#' School of Information and Computer Science.
#' 
#' @examples
#' data(house_votes84)
#' congress_lpca = logisticPCA(house_votes84, k = 2, m = 4)
"house_votes84"