Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Issue 3376 : stats f_oneway needs floats #3416

Closed
wants to merge 2 commits into from
Closed

Issue 3376 : stats f_oneway needs floats #3416

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
233baa3
Changing array dtype to float
ankit-maverick Feb 28, 2014
47016ac
Adding a test of stats.f_oneway on uint16 array with large integer va…
ankit-maverick Feb 28, 2014
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
3 changes: 2 additions & 1 deletion scipy/stats/stats.py
View file
Open in desktop
Expand Up @@ -2370,7 +2370,8 @@ def f_oneway(*args):
.. [2] Heiman, G.W. Research Methods in Statistics. 2002.

"""
args = list(map(np.asarray, args)) # convert to an numpy array
# convert to an numpy array
args = [np.asarray(arg, dtype=float) for arg in args]
na = len(args) # ANOVA on 'na' groups, each in it's own array
alldata = np.concatenate(args)
bign = len(alldata)
Expand Down
8 changes: 8 additions & 0 deletions scipy/stats/tests/test_stats.py
View file
Open in desktop
Expand Up @@ -2660,6 +2660,14 @@ def test_basic(self):
# result in F being exactly 2.0.
assert_equal(F, 2.0)

def test_large_integer_array(self):
# A test of stats.f_oneway on an array of type np.uint16, with large
# integer values
a = np.array([655, 788], dtype=np.uint16)
b = np.array([789, 772], dtype=np.uint16)
F, p = stats.f_oneway(a, b)
assert_almost_equal(F, 0.77450216931805538)


class TestKruskal(TestCase):

Expand Down