R/data.R

In fanne-stat/DGCPCA: Discrete Gaussian Copula PCA

#' SPECT Heart Data Set
#'
#' The dataset describes diagnosing of cardiac Single Proton Emission Computed Tomography (SPECT) images. Each of the patients is classified into two categories: normal and abnormal. The database of 267 SPECT image sets (patients) was processed to extract features that summarize the original SPECT images. As a result, 44 continuous feature pattern was created for each patient. The pattern was further processed to obtain 22 binary feature patterns.
#'
#' @format A data frame with 267 rows and 23 variables:
#' \describe{
#'     \item{F1 - F22}{the partial diagnosis, binary}
#'     \item{class}{class attribute, binary (0 - normal, 1 - abnormal)}
#'     }
#'@source{\url{https://archive.ics.uci.edu/ml/datasets/SPECT+Heart}}
#'
"SPECT"