R/data-bes83.R

In R2MLwiN: Running 'MLwiN' from Within R

#' Subsample from British Election Study, '83.
#' 
#' Subsample from British Election Study, consisting of 800 voters across 110
#' areas.
#' 
#' The \code{bes83} dataset is one of the sample datasets provided with the
#' multilevel-modelling software package MLwiN (Rasbash et al., 2009). See
#' Heath et al (1996), and also Rasbash et al (2012) and Browne (2012).
#' 
#' @docType data
#' @format A data frame with 800 observations on the following 10 variables:
#' \describe{
#' \item{voter}{Voter identifier.}
#' \item{area}{Identifier for voters' constituencies.}
#' \item{defence}{Score on a 21 point scale of attitudes towards nuclear weapons
#' with low scores indicating disapproval of Britain possessing them.  This
#' variable is centred about its mean.}
#' \item{unemp}{Score on a 21 point scale of attitudes towards unemployment with
#' low scores indicating strong opposition and higher scores indicating a
#' preference for greater unemployment if it results in lower inflation.  This
#' variable is centred about its mean.}
#' \item{taxes}{Score on a 21 point scale of attitudes towards tax cuts with low
#' scores indicating a preference for higher taxes to pay for more government
#' spending.  This variable is centred about its mean.}
#' \item{privat}{Score on a 21 point scale of attitudes towards privatization of
#' public services with low scores indicating opposition.  This variable is
#' centred about its mean.}
#' \item{votecons}{If respondent voted Conservative; a factor with levels
#' \code{Other} and \code{Voted_Conservative}.}
#' \item{cons}{This variable is constant (= 1) for all voters.}
#' \item{denom}{This variable is constant (= 1) for all voters.}
#' }
#' @source Browne, W. J. (2012) \emph{MCMC Estimation in MLwiN Version 2.26.}
#' University of Bristol: Centre for Multilevel Modelling.
#' 
#' Heath, A., Yang, M., Goldstein, H. (1996). Multilevel analysis of the
#' changing relationship between class and party in Britain 1964-1992.
#' \emph{Quality and Quantity}, 30:389-404.
#' 
#' Rasbash, J., Charlton, C., Browne, W.J., Healy, M. and Cameron, B. (2009)
#' \emph{MLwiN Version 2.1.} Centre for Multilevel Modelling, University of
#' Bristol.
#' 
#' Rasbash, J., Steele, F., Browne, W.J. and Goldstein, H. (2012) \emph{A
#' User's Guide to MLwiN Version 2.26.} Centre for Multilevel Modelling,
#' University of Bristol.
#' @keywords datasets
#' @examples
#' 
#' \dontrun{
#' 
#' data(bes83, package = "R2MLwiN")
#' 
#' (mymodel <- runMLwiN(logit(votecons, cons) ~ 1 + defence + unemp + taxes + privat + (1 | area),
#'   D = "Binomial", estoptions = list(EstM = 1), data = bes83))
#' 
#' }
#' 
"bes83"