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#' transfers "kohonen" class into "cclust" class
#'
#' @param x Object of class "kohonen" returned by a clustering algorithm such as som
#' @return object of class "cclust"
#' @keywords kohonenClass2cclust
#' @export
#' @import ape
#' @author Ai-bing ZHANG,PhD. CNU, Beijing, CHINA, contact at zhangab2008(at)mail.cnu.edu.cn
#' @references Zhang et al. 2015.Initinally created on 2014/8/2 11:23:41
#' @description kohonenClass2cclust transfers "kohonen" class into "cclust" class in order to calculate cclustIndex using the function cclustIndex() which only takes an object of class "cclust" class as input.
#' @details only related data to calculating cclustIndex() were transferred!!!
#' @examples
#' require(kohonen)
#' data(wines)
#' set.seed(7)
#' training <- sample(nrow(wines), 120)
#' Xtraining <- scale(wines[training, ])
#' Xtest <- scale(wines[-training, ],
#' center = attr(Xtraining, "scaled:center"),
#' scale = attr(Xtraining, "scaled:scale"))
#' x <- som(Xtraining, grid = somgrid(5, 5, "hexagonal"))
#' cl<-kohonenClass2cclust(x)
#' class(cl)
library(testthat)
context("kohonenClass2cclust: transfers \"kohonen\" class into \"cclust\" class")
test_that("transfers \"kohonen\" class into \"cclust\" class",{
require(kohonen)
data(wines)
set.seed(7)
training <- sample(nrow(wines), 120)
Xtraining <- scale(wines[training, ])
Xtest <- scale(wines[-training, ],
center = attr(Xtraining, "scaled:center"),
scale = attr(Xtraining, "scaled:scale"))
x <- som(Xtraining, grid = somgrid(5, 5, "hexagonal"))
cl<-kohonenClass2cclust(x)
expect_that(class(cl),
equals("cclust"))
})
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