tests/testthat/test.classif.knn.R

In MarekSlenker/MorphoTools2: Multivariate Morphometric Analysis

context("classif.knn")

morphoDataFrame = data.frame("ID" = c("id1","id2","id3","id4","id5","id6","id7","id8"),
                             "Population" = c("Pop1", "Pop1", "Pop2", "Pop2", "Pop3", "Pop3", "Pop4", "Pop4"),
                             "Taxon" = c("TaxA", "TaxA", "TaxA", "TaxA", "TaxB", "TaxB", "TaxB", "TaxB"),
                               "Ch1" = c(1,3,4,6,1,7,12,8),
                               "Ch2" = c(11, 12,42,12,32,11,22,18))

morphoMockup = .morphodataFromDataFrame(morphoDataFrame)


test_that("correct input", {
  data("centaurea")
  expect_error(classif.knn(centaurea), "NA values in 'object'.")

  expect_error(classif.knn(morphoMockup, k = 6, crossval = "ee"), "Invalid crossvalidation unit. Consider using \"indiv\" or \"pop\".")

  expect_error(classif.knn(morphoMockup), "Argument 'k' is missing, there is no default value.")

})

test_that("correctness of calculation",  {
  c = suppressWarnings(classif.knn(morphoMockup, k=2))
  
  expect_is( c, "classifdata")

  expect_equal( attr(c, "method"), "knn")

  expect_equal(paste(unlist(c$prob), collapse = ","), "1,1,1,1,1,0.5,1,0.5")
  #expect_equal(paste(c$correct, collapse = ","), "c(TRUE, TRUE, FALSE, FALSE, FALSE, FALSE, TRUE, TRUE)")
  #expect_equal(paste(c$classif, collapse = ","), "c(\"TaxA\", \"TaxA\", \"TaxB\", \"TaxB\", \"TaxA\", \"TaxB\", \"TaxB\", \"TaxA\")")
  expect_equal(paste(c$ID, collapse = ","), "id1,id2,id3,id4,id5,id6,id7,id8")
})


test_that("correctness of calculation  -to iste 2 metodami",  {

  data = read.morphodata("../testFiles/samplePlnaMatica.txt")


  bezRTE = removePopulation(data, populationName = "RTE")
  RTE = keepPopulation(data, populationName = "RTE")

  RTE.classif = suppressWarnings(classifSample.knn(RTE, bezRTE, k = 2))
  class_vsetko = classif.knn(data, k = 2, crossval = "pop")
  
  expect_equal(class_vsetko$ID[473:492], RTE.classif$ID)
  expect_equal(as.character(class_vsetko$Population[473:492]), as.character(RTE.classif$Population))
  #expect_equal(paste(class_vsetko$classif[473:492,]), paste(RTE.classif$classif[1:20,]))
  #expect_equal(class_vsetko$prob[473:492,], RTE.classif$prob[,])

})