tests/testthat/test_klfda.R

In lfda: Local Fisher Discriminant Analysis

context("Test klfda functionalities")

data(iris)

test_that("klfda works correctly for different metrics on the data transformed by kmatrixGauss()", {
  k <- kmatrixGauss(iris[, -5])
  y <- iris[, 5]
  r <- 3
  result <- klfda(k, y, r, metric = "plain")
  expect_equal(dim(result$T), c(150, 3))
  expect_equal(dim(result$Z), c(150, 3))

  result <- klfda(k, y, r, metric = "weighted")
  expect_equal(dim(result$T), c(150, 3))
  expect_equal(dim(result$Z), c(150, 3))

  result <- klfda(k, y, r, metric = "orthonormalized")
  expect_equal(dim(result$T), c(150, 3))
  expect_equal(dim(result$Z), c(150, 3))
})