\name{neuropathy}
\alias{neuropathy}
\docType{data}
\title{ Acute Painful Diabetic Neuropathy }
\description{
  The logarithm of the ratio of pain scores at baseline and after four weeks
for a control and treatment group.
}
\usage{data("neuropathy")}
\format{
  A data frame with 58 observations on the following 2 variables.
  \describe{
    \item{pain}{pain scores: ln(baseline/final).}
    \item{group}{a factor with levels \code{control} and \code{treat}.} }
}
\details{
  Data from Table 1 of Conover \& Salsburg (1988).
}
\source{

    William J. Conover \& David S. Salsburg (1988). Locally most powerful tests
    for detecting treatment effects when only a subset of patients can  
    be expected to "respond" to treatment. \emph{Biometrics} \bold{44},
    189--196.

}
\examples{

  ### compare with Table 2 of Conover & Salsburg (1988)
  oneway_test(pain ~ group, data = neuropathy, alternative = "less",
              distribution = "exact")

  wilcox_test(pain ~ group, data = neuropathy, alternative = "less", 
              distribution = "exact")

  oneway_test(pain ~ group, data = neuropathy, 
              distribution = approximate(B = 10000),
              alternative = "less", ytrafo = function(data) trafo(data,
                  numeric_trafo = consal_trafo))

}
\keyword{datasets}
