swh:1:snp:813359ba77493c9d5dd1abad9a1f53490a8abf57
Tip revision: 60fafa14b471f505570c2c85e69cb2cf2e495536 authored by Torsten Hothorn on 15 June 2005, 00:00:00 UTC
version 0.2-13
version 0.2-13
Tip revision: 60fafa1
neuropathy.Rd
\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{
data(neuropathy, package = "coin")
### 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}