R/aneurisk.R

In astamm/fdahotelling: Inference for Functional Data Analysis in R

#' Aneurisk dataset
#'
#' Geometrical and hemodynamical features of the internal carotid artery (ICA)
#' of 50 subjects diagnosed with a cerebral aneurysm along the ICA. Measured
#' features were the radius and its derivative, the centerline curvature, the
#' wall-shear-stress and its derivative and the torsion. After alignment and
#' smoothing pre-processing steps, each feature was evaluated onto the same
#' 512-point uniform 1-dimensional grid of curvilinear ascissa. Subjects were
#' divided into two groups pertaining to different clinical severity of the
#' aneurysm:
#' \describe{
#' \item{High-Risk Group.}{25 subjects affected by a severe form of the
#'  pathology (patients with an aneurysm in the upper part of the ICA),}
#' \item{Low-Risk Group.}{25 subjects affected by a minor form of the pathology
#'  (patients with an aneurysm in the lower part of the ICA)
#'  or healthy (without any aneurysm).}
#' }
#'
#' @format A \code{\link[dplyr]{data_frame}} with 12 rows and 4 variables:
#' \describe{
#'  \item{\code{variable}}{Name of the ICA feature.}
#'  \item{\code{group}}{Group status defining aneurysm severity (\code{low} or
#'  \code{up} for Low-Risk and Upper-Risk groups, respectively).}
#'  \item{\code{abscissa}}{List of numeric vectors specifying the 512-point
#'  uniform grid defining the curvilinear abscissa.}
#'  \item{\code{data}}{A list of \code{\link[dplyr]{data_frame}}s with 25 rows
#'  and 512 variables containing the measurements of the ICA features specified
#'  in the \code{variable} column for subjects of group specified in the
#'  \code{group} column. Subjects are list by row and pointwise feature curve
#'  evaluations by column.}
#' }
#' @source
#'  \url{http://ecm2.mathcs.emory.edu/aneuriskweb/a65},
#'  \url{https://statistics.mox.polimi.it/aneurisk/}
"aneurisk"