% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{blood.hist}
\alias{blood.hist}
\title{Blood Test Histogram Dataset}
\format{
A data frame with 14 observations and 3 histogram-valued
variables:
\itemize{
    \item \code{Cholesterol}: Histogram of cholesterol levels (mg/dL).
    \item \code{Hemoglobin}: Histogram of hemoglobin levels (g/dL).
    \item \code{Hematocrit}: Histogram of hematocrit levels (\%).
}
}
\source{
HistDAWass R package (\code{BLOOD} dataset).
}
\usage{
data(blood.hist)
}
\description{
Histogram-valued blood test results for 14 gender-age groups (e.g.,
Female-20, Male-50). Each observation contains histograms for
cholesterol, hemoglobin, and hematocrit, represented as multi-bin
distributions.
}
\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, Clustering
}
}

\examples{
data(blood.hist)
}
\references{
Irpino, A. and Verde, R. (2015). Basic statistics for distributional
symbolic variables: a new metric-based approach. \emph{Advances in
Data Analysis and Classification}, 9(2), 143--175.

Original data from the HistDAWass R package (\code{BLOOD} dataset).
}
\keyword{datasets}
\keyword{histogram}
