Python ks_2samp 예제들

예제 #1

파일: test_all.py 프로젝트: avatarzhang/python-statlib

    def test_ks_2samp(self):
        "Testing ks_2samp"

        data1 = [self.L, self.A]
        data2 = [self.M, self.B]
        results = (-0.20000000000000007, 0.77095294467662123)

        i = 0
        for d in data1:
            self.assertEqual(stats.ks_2samp(d, data2[i])[i], results[i])
            i += 1

예제 #2

파일: test_all.py 프로젝트: avatarzhang/python-statlib

 def test_ks_2samp(self):
     "Testing ks_2samp"
     
     data1 = [ self.L, self.A ]
     data2 = [ self.M, self.B ]
     results = (-0.20000000000000007, 0.77095294467662123)
     
     i = 0
     for d in data1:
         self.assertEqual( stats.ks_2samp( d, data2[i] )[i], results[i] )
         i += 1

예제 #3

print('\nINFERENTIAL')
print('ttest_1samp:')
print(stats.ttest_1samp(l, 12))
print(stats.ttest_1samp(a, 12))
print('ttest_ind:')
print(stats.ttest_ind(l, m))
print(stats.ttest_ind(a, b))
print('ttest_rel:')
print(stats.ttest_rel(l, m))
print(stats.ttest_rel(a, b))
print('chisquare:')
print(stats.chisquare(l))
print(stats.chisquare(a))
print('ks_2samp:')
print(stats.ks_2samp(l, m))
print(stats.ks_2samp(a, b))

print('mannwhitneyu:')
print(stats.mannwhitneyu(l, m))
print(stats.mannwhitneyu(a, b))
print('ranksums:')
print(stats.ranksums(l, m))
print(stats.ranksums(a, b))
print('wilcoxont:')
print(stats.wilcoxont(l, m))
print(stats.wilcoxont(a, b))
print('kruskalwallish:')
print(stats.kruskalwallish(l, m, l))
print(len(l), len(m))
print(stats.kruskalwallish(a, b, a))

예제 #4

파일: test_allstats.py 프로젝트: avatarzhang/python-statlib

print '\nINFERENTIAL'
print 'ttest_1samp:'
print stats.ttest_1samp(l,12)
print stats.ttest_1samp(a,12)
print 'ttest_ind:'
print stats.ttest_ind(l,m)
print stats.ttest_ind(a,b)
print 'ttest_rel:'
print stats.ttest_rel(l,m)
print stats.ttest_rel(a,b)
print 'chisquare:'
print stats.chisquare(l)
print stats.chisquare(a)
print 'ks_2samp:'
print stats.ks_2samp(l,m)
print stats.ks_2samp(a,b)

print 'mannwhitneyu:'
print stats.mannwhitneyu(l,m)
print stats.mannwhitneyu(a,b)
print 'ranksums:'
print stats.ranksums(l,m)
print stats.ranksums(a,b)
print 'wilcoxont:'
print stats.wilcoxont(l,m)
print stats.wilcoxont(a,b)
print 'kruskalwallish:'
print stats.kruskalwallish(l,m,l)
print len(l), len(m)
print stats.kruskalwallish(a,b,a)

예제 #5

파일: inferential.py 프로젝트: debbiespiegel/salstat-statistics-package-2

 def evaluate( self, *args, **params):
     return _stats.ks_2samp(*args, **params)

예제 #6

파일: test_allstats.py 프로젝트: haavee/RDBE

print '\nINFERENTIAL'
print 'ttest_1samp:'
print stats.ttest_1samp(l, 12)
print stats.ttest_1samp(a, 12)
print 'ttest_ind:'
print stats.ttest_ind(l, m)
print stats.ttest_ind(a, b)
print 'ttest_rel:'
print stats.ttest_rel(l, m)
print stats.ttest_rel(a, b)
print 'chisquare:'
print stats.chisquare(l)
print stats.chisquare(a)
print 'ks_2samp:'
print stats.ks_2samp(l, m)
print stats.ks_2samp(a, b)

print 'mannwhitneyu:'
print stats.mannwhitneyu(l, m)
print stats.mannwhitneyu(a, b)
print 'ranksums:'
print stats.ranksums(l, m)
print stats.ranksums(a, b)
print 'wilcoxont:'
print stats.wilcoxont(l, m)
print stats.wilcoxont(a, b)
print 'kruskalwallish:'
print stats.kruskalwallish(l, m, l)
print len(l), len(m)
print stats.kruskalwallish(a, b, a)