Nothing
context("Test Linearity")
test_that("multiclass.result", {
aux = linearity(Species ~ ., iris, measures="L1", summary="mean")
expect_equal(as.numeric(aux$L1), 0.004335693)
aux = linearity(Species ~ ., iris, measures="L2", summary="mean")
expect_equal(as.numeric(aux$L2), 0.013333333)
set.seed(123)
aux = linearity(Species ~ ., iris, measures="L3", summary="mean")
expect_equal(as.numeric(aux$L3), 0.01)
})
test_that("binary1.result", {
iris = iris[1:100,]
iris$Species = factor(iris$Species)
aux = linearity(Species ~ ., iris, measures="L1", summary="mean")
expect_equal(as.numeric(aux$L1), 0)
aux = linearity(Species ~ ., iris, measures="L2", summary="mean")
expect_equal(as.numeric(aux$L2), 0)
set.seed(123)
aux = linearity(Species ~ ., iris, measures="L3", summary="mean")
expect_equal(as.numeric(aux$L3), 0)
})
test_that("binary2.result", {
iris = iris[51:150,]
iris$Species = factor(iris$Species)
aux = linearity(Species ~ ., iris, measures="L1", summary="mean")
expect_equal(as.numeric(aux$L1), 0.01300708)
aux = linearity(Species ~ ., iris, measures="L2", summary="mean")
expect_equal(as.numeric(aux$L2), 0.04000000)
set.seed(123)
aux = linearity(Species ~ ., iris, measures="L3", summary="mean")
expect_equal(as.numeric(aux$L3), 0.02000000)
})
test_that("regression.result", {
aux = linearity(speed ~ ., cars, measures="L1", summary="mean")
expect_equal(as.numeric(aux$L1), 0.11991838)
aux = linearity(speed ~ ., cars, measures="L2", summary="mean")
expect_equal(as.numeric(aux$L2), 0.02167897)
set.seed(123)
aux = linearity(speed ~ ., cars, measures="L3", summary="mean")
expect_equal(as.numeric(aux$L3), 0.01797071)
})
test_that("validation.error",{
expect_error(linearity(Species ~ ., iris, measures="F3"))
expect_error(linearity(Species ~ ., iris, measures="F4", summary="abc"))
})
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