test/test_stest.rb in statsample-1.4.1 vs test/test_stest.rb in statsample-1.4.2

@@ -1,56 +1,55 @@
-require(File.expand_path(File.dirname(__FILE__)+'/helpers_tests.rb'))
+require(File.expand_path(File.dirname(__FILE__) + '/helpers_tests.rb'))
 
-class StatsampleTestTestCase < MiniTest::Unit::TestCase
+class StatsampleTestTestCase < Minitest::Test
   def test_chi_square_matrix_with_expected
-    real=Matrix[[95,95],[45,155]]
-    expected=Matrix[[68,122],[72,128]]
+    real = Matrix[[95, 95], [45, 155]]
+    expected = Matrix[[68, 122], [72, 128]]
     assert_nothing_raised do
-      Statsample::Test.chi_square(real,expected)
+      Statsample::Test.chi_square(real, expected)
     end
-    chi=Statsample::Test.chi_square(real,expected).chi_square
-    assert_in_delta(32.53,chi,0.1)
-    
+    chi = Statsample::Test.chi_square(real, expected).chi_square
+    assert_in_delta(32.53, chi, 0.1)
   end
+
   def test_chi_square_matrix_only_observed
-    observed=Matrix[[20,30,40],[30,40,50],[60,70,80],[10,20,40]]
+    observed = Matrix[[20, 30, 40], [30, 40, 50], [60, 70, 80], [10, 20, 40]]
     assert_nothing_raised do
       Statsample::Test.chi_square(observed)
     end
-    chi=Statsample::Test.chi_square(observed)
+    chi = Statsample::Test.chi_square(observed)
     assert_in_delta(9.5602, chi.chi_square, 0.0001)
     assert_in_delta(0.1444, chi.probability, 0.0001)
 
     assert_equal(6, chi.df)
-    
   end
-  
+
   def test_u_mannwhitney
-    a=[1,2,3,4,5,6].to_scale
-    b=[0,5,7,9,10,11].to_scale
-    assert_equal(7.5, Statsample::Test.u_mannwhitney(a,b).u)
-    assert_equal(7.5, Statsample::Test.u_mannwhitney(b,a).u)
-    a=[1, 7,8,9,10,11].to_scale
-    b=[2,3,4,5,6,12].to_scale
-    assert_equal(11, Statsample::Test.u_mannwhitney(a,b).u)
+    a = [1, 2, 3, 4, 5, 6].to_scale
+    b = [0, 5, 7, 9, 10, 11].to_scale
+    assert_equal(7.5, Statsample::Test.u_mannwhitney(a, b).u)
+    assert_equal(7.5, Statsample::Test.u_mannwhitney(b, a).u)
+    a = [1, 7, 8, 9, 10, 11].to_scale
+    b = [2, 3, 4, 5, 6, 12].to_scale
+    assert_equal(11, Statsample::Test.u_mannwhitney(a, b).u)
   end
 
-
   def test_levene
-    a=[1,2,3,4,5,6,7,8,100,10].to_scale
-    b=[30,40,50,60,70,80,90,100,110,120].to_scale
-    levene=Statsample::Test::Levene.new([a,b])
+    a = [1, 2, 3, 4, 5, 6, 7, 8, 100, 10].to_scale
+    b = [30, 40, 50, 60, 70, 80, 90, 100, 110, 120].to_scale
+    levene = Statsample::Test::Levene.new([a, b])
     assert_levene(levene)
   end
+
   def test_levene_dataset
-    a=[1,2,3,4,5,6,7,8,100,10].to_scale
-    b=[30,40,50,60,70,80,90,100,110,120].to_scale
-    ds={'a'=>a,'b'=>b}.to_dataset
-    levene=Statsample::Test::Levene.new(ds)
+    a = [1, 2, 3, 4, 5, 6, 7, 8, 100, 10].to_scale
+    b = [30, 40, 50, 60, 70, 80, 90, 100, 110, 120].to_scale
+    ds = { 'a' => a, 'b' => b }.to_dataset
+    levene = Statsample::Test::Levene.new(ds)
     assert_levene(levene)
   end
+
   def assert_levene(levene)
     assert_in_delta(0.778, levene.f, 0.001)
     assert_in_delta(0.389, levene.probability, 0.001)
   end
- 
 end