def test_bias_complete(self):
'''
Test bias upon a hypothetical dataset containing complete agreement.
'''
bias = artstein_poesio_bias_linear(COMPLETE_AGREEMENT)
self.assertTrue(bias >= 0)
self.assertEqual(bias,
Decimal('0.008099721956129627956849957112'))
def test_bias_large(self):
'''
Test bias upon a hypothetical dataset containing large disagreement.
'''
bias = artstein_poesio_bias_linear(LARGE_DISAGREEMENT)
self.assertTrue(bias >= 0)
self.assertEqual(bias,
Decimal('0.25'))
def test_bias_g2(self):
'''
Test bias upon Group 2 of Kazantseva (2012) data.
'''
bias = artstein_poesio_bias_linear(KAZANTSEVA2012_G2)
self.assertTrue(bias > 0)
self.assertAlmostEqual(bias,
Decimal('0.00393636062003502686364542151'))
def test_bias_g5(self):
'''
Test bias upon Group 5 of Kazantseva (2012) data.
'''
bias = artstein_poesio_bias_linear(KAZANTSEVA2012_G5)
self.assertTrue(bias > 0)
self.assertAlmostEqual(bias,
Decimal('0.00277829320319822615823397979'))
def test_bias_g2_ch2(self):
'''
Test bias upon Group 2, Chapter 2, of Kazantseva (2012) data.
'''
data = KAZANTSEVA2012_G2['ch2']
data = {'ch2': data}
bias = artstein_poesio_bias_linear(data)
self.assertTrue(bias > 0)
self.assertAlmostEqual(bias,
Decimal('0.00090702947845804988662131528'))
def test_bias_g5_ch1(self):
'''
Test bias upon Group 5, Chapter 1, of Kazantseva (2012) data.
'''
data = KAZANTSEVA2012_G5['ch1']
data = {'ch1': data}
bias = artstein_poesio_bias_linear(data)
self.assertTrue(bias > 0)
self.assertAlmostEqual(bias,
Decimal('0.00390625000000000000000000011'))
def test_parts(self):
'''
Test bias upon a hypothetical dataset containing large disagreement.
'''
A_pi_e, A_fleiss_e = artstein_poesio_bias_linear(LARGE_DISAGREEMENT,
return_parts=True)
self.assertEqual(A_pi_e,
Decimal('0.25'))
self.assertEqual(A_fleiss_e,
Decimal('0.0'))
self.assertEqual(A_pi_e - A_fleiss_e,
Decimal('0.25'))
def test_multiple_boundary_types(self):
'''
Test multiple boundaries.
'''
value = artstein_poesio_bias_linear(MULTIPLE_BOUNDARY_TYPES)
self.assertAlmostEqual(value, Decimal('0.00916666666'))
