data_dfm_lbgexample.Rd

% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data-documentation.R
\docType{data}
\name{data_dfm_lbgexample}
\alias{data_dfm_lbgexample}
\alias{data_dfm_LBGexample}
\title{dfm from data in Table 1 of Laver, Benoit, and Garry (2003)}
\format{A \link{dfm} object with 6 documents and 37 features.}
\usage{
data_dfm_lbgexample
}
\description{
Constructed example data to demonstrate the Wordscores algorithm, from Laver 
Benoit and Garry (2003), Table 1.
}
\details{
This is the example word count data from Laver, Benoit and Garry's 
  (2003) Table 1. Documents R1 to R5 are assumed to have known positions: 
  -1.5, -0.75, 0, 0.75, 1.5.  Document V1 is assumed unknown, and will have a
  raw text score of approximately -0.45 when computed as per LBG (2003).
}
\references{
Laver, M., Benoit, K.R., & Garry, J. (2003). 
  \href{https://kenbenoit.net/pdfs/WORDSCORESAPSR.pdf}{Estimating Policy 
  Positions from Political Text using Words as Data}. \emph{American
  Political Science Review}, 97(2), 311--331.
}
\keyword{data}