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{list("voter")}{Voter identifier.}
#' \item{list("area")}{Identifier for voters' constituencies.}
#' \item{list("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{list("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{list("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{list("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{list("votecons")}{If respondent voted Conservative; a factor with
#' levels \code{Other} and \code{Voted_Conservative}.} \item{list("cons")}{This
#' variable is constant (= 1) for all voters.} \item{list("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"