R/discoveR.R

#' @name discoveR
#' @aliases discoveR
#' @docType package
#' @title Exploratory Data Analysis System
#' @author
#' Maintainer: Oldemar Rodriguez Rojas <oldemar.rodriguez@ucr.ac.cr>\cr
#' \itemize{
#'   \item Oldemar Rodriguez Rojas <oldemar.rodriguez@ucr.ac.cr>
#'   \item Diego Jiménez Alvarado
#' }
#' @description
#' Performs an exploratory data analysis through a 'shiny' interface. 
#' It includes basic methods such as the mean, median, mode, normality test, 
#' among others. It also includes clustering techniques such as Principal 
#' Components Analysis, Hierarchical Clustering and the K-Means Method.
#' @details
#' \tabular{ll}{
#' Package: \tab discoveR\cr
#' Type: \tab Package\cr
#' Version: \tab 3.1.5\cr
#' Date: \tab 2023-03-28\cr
#' License: \tab GPL (>=2)\cr
#' }
#' @keywords package
#' @docType package

NULL
utils::globalVariables(c(
  "tab.disjonctif", "cant", "x", "y", "xend", "yend", "grupo", "Dim.1", "<<-",
  "Dim.2", "cj_colors", "cluster", "id", "k_colors", "n", "name", "value", "z",
  "colorRow", "etq"
))
PROMiDAT/discoveR documentation built on March 2, 2023, 6:58 p.m.