% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{hematocrit.hist}
\alias{hematocrit.hist}
\title{Hematocrit by Gender and Age Histogram-Valued Dataset}
\format{
A data frame with 14 observations and 3 variables:
\itemize{
    \item \code{gender}: Gender (Female or Male).
    \item \code{age}: Age group (20s, 30s, 40s, 50s, 60s, 70s, 80+).
    \item \code{hematocrit}: Histogram-valued hematocrit distribution (\%).
}
}
\source{
Billard, L. and Diday, E. (2006), Table 4.14.
}
\usage{
data(hematocrit.hist)
}
\description{
Histogram-valued hematocrit distributions for 14 gender-age groups
(7 female + 7 male age groups from 20s to 80+). Each observation has
a 10-bin histogram of hematocrit percentages.
}
\section{Metadata}{

\tabular{ll}{
  \strong{Sample size (n)} \tab 14 \cr
  \strong{Variables (p)} \tab 3 \cr
  \strong{Subject area} \tab Medical \cr
  \strong{Symbolic format} \tab Histogram \cr
  \strong{Analytical tasks} \tab Descriptive statistics
}
}

\examples{
data(hematocrit.hist)
}
\references{
Billard, L. and Diday, E. (2006). \emph{Symbolic Data Analysis:
Conceptual Statistics and Data Mining}. Wiley, Chichester. Table 4.14.
}
\keyword{datasets}
\keyword{histogram}
\keyword{medical}
