R/glass_docs.R

#' Glass Identification Data Set
#'
#' The study of classification of types of glass was motivated by criminological
#' investigation. At the scene of the crime, the glass left can be used as
#' evidence...if it is correctly identified!
#'
#' @format A data frame with 214 observations on the following 11 variables.
#' - `ID`: 1 to 214
#' - `RI`: refractive index
#' - `Na`: weight percent in corresponding oxide, as are attributes 4-10)
#' - `Mg`: Magnesium
#' - `Al`: Aluminum
#' - `Si`: Silicon
#' - `K`: Potassium
#' - `Ca`: Calcium
#' - `Ba`: Barium
#' - `Fe`: Iron
#' - `Type`: Class attribute
#'    - 1: building_windows_float_processed
#'    - 2: building_windows_non_float_processed
#'    - 3: vehicle_windows_float_processed
#'    - 4: vehicle_windows_non_float_processed (none in this database)
#'    - 5: containers
#'    - 6: tableware
#'    - 7: headlamps
#' @source
#'
#' B. German
#' Central Research Establishment
#' Home Office Forensic Science Service
#' Aldermaston, Reading, Berkshire RG7 4PN
#'
#' Vina Spiehler, Ph.D., DABFT
#' Diagnostic Products Corporation
#' (213) 776-0180 (ext 3014)
#'
#' @references
#' <https://archive.ics.uci.edu/ml/machine-learning-databases/glass/glass.data>
#' <https://archive.ics.uci.edu/ml/datasets/Glass+Identification>
"glass"
coatless/ucidata documentation built on Nov. 17, 2023, 9:19 a.m.