def test_friedmanchisq(self):
# No missing values
args = ([9.0,9.5,5.0,7.5,9.5,7.5,8.0,7.0,8.5,6.0],
[7.0,6.5,7.0,7.5,5.0,8.0,6.0,6.5,7.0,7.0],
[6.0,8.0,4.0,6.0,7.0,6.5,6.0,4.0,6.5,3.0])
result = mstats.friedmanchisquare(*args)
assert_almost_equal(result[0], 10.4737, 4)
assert_almost_equal(result[1], 0.005317, 6)
# Missing values
x = [[nan,nan, 4, 2, 16, 26, 5, 1, 5, 1, 2, 3, 1],
[4, 3, 5, 3, 2, 7, 3, 1, 1, 2, 3, 5, 3],
[3, 2, 5, 6, 18, 4, 9, 1, 1,nan, 1, 1,nan],
[nan, 6, 11, 4, 17,nan, 6, 1, 1, 2, 5, 1, 1]]
x = ma.fix_invalid(x)
result = mstats.friedmanchisquare(*x)
assert_almost_equal(result[0], 2.0156, 4)
assert_almost_equal(result[1], 0.5692, 4)
def test_friedmanchisq(self):
# No missing values
args = ([9.0,9.5,5.0,7.5,9.5,7.5,8.0,7.0,8.5,6.0],
[7.0,6.5,7.0,7.5,5.0,8.0,6.0,6.5,7.0,7.0],
[6.0,8.0,4.0,6.0,7.0,6.5,6.0,4.0,6.5,3.0])
result = mstats.friedmanchisquare(*args)
assert_almost_equal(result[0], 10.4737, 4)
assert_almost_equal(result[1], 0.005317, 6)
# Missing values
x = [[nan,nan, 4, 2, 16, 26, 5, 1, 5, 1, 2, 3, 1],
[4, 3, 5, 3, 2, 7, 3, 1, 1, 2, 3, 5, 3],
[3, 2, 5, 6, 18, 4, 9, 1, 1,nan, 1, 1,nan],
[nan, 6, 11, 4, 17,nan, 6, 1, 1, 2, 5, 1, 1]]
x = ma.fix_invalid(x)
result = mstats.friedmanchisquare(*x)
assert_almost_equal(result[0], 2.0156, 4)
assert_almost_equal(result[1], 0.5692, 4)
def test_friedmanchisq(self):
# No missing values
args = ([9.0,9.5,5.0,7.5,9.5,7.5,8.0,7.0,8.5,6.0],
[7.0,6.5,7.0,7.5,5.0,8.0,6.0,6.5,7.0,7.0],
[6.0,8.0,4.0,6.0,7.0,6.5,6.0,4.0,6.5,3.0])
result = mstats.friedmanchisquare(*args)
assert_almost_equal(result[0], 10.4737, 4)
assert_almost_equal(result[1], 0.005317, 6)
# Missing values
x = [[nan,nan, 4, 2, 16, 26, 5, 1, 5, 1, 2, 3, 1],
[4, 3, 5, 3, 2, 7, 3, 1, 1, 2, 3, 5, 3],
[3, 2, 5, 6, 18, 4, 9, 1, 1,nan, 1, 1,nan],
[nan, 6, 11, 4, 17,nan, 6, 1, 1, 2, 5, 1, 1]]
x = ma.fix_invalid(x)
result = mstats.friedmanchisquare(*x)
assert_almost_equal(result[0], 2.0156, 4)
assert_almost_equal(result[1], 0.5692, 4)
# test for namedtuple attributes
attributes = ('statistic', 'pvalue')
check_named_results(result, attributes, ma=True)
def test_friedmanchisq(self):
# No missing values
args = ([9.0, 9.5, 5.0, 7.5, 9.5, 7.5, 8.0, 7.0, 8.5,
6.0], [7.0, 6.5, 7.0, 7.5, 5.0, 8.0, 6.0, 6.5, 7.0, 7.0],
[6.0, 8.0, 4.0, 6.0, 7.0, 6.5, 6.0, 4.0, 6.5, 3.0])
result = mstats.friedmanchisquare(*args)
assert_almost_equal(result[0], 10.4737, 4)
assert_almost_equal(result[1], 0.005317, 6)
# Missing values
x = [[nan, nan, 4, 2, 16, 26, 5, 1, 5, 1, 2, 3, 1],
[4, 3, 5, 3, 2, 7, 3, 1, 1, 2, 3, 5, 3],
[3, 2, 5, 6, 18, 4, 9, 1, 1, nan, 1, 1, nan],
[nan, 6, 11, 4, 17, nan, 6, 1, 1, 2, 5, 1, 1]]
x = ma.fix_invalid(x)
result = mstats.friedmanchisquare(*x)
assert_almost_equal(result[0], 2.0156, 4)
assert_almost_equal(result[1], 0.5692, 4)
# test for namedtuple attributes
attributes = ('statistic', 'pvalue')
check_named_results(result, attributes, ma=True)