Python chisquare Examples

Example #1

File: test_all.py Project: avatarzhang/python-statlib

 def test_chisquare(self):
     "Testing chisquare"
     
     data = [ self.L, self.A ]
     
     results = (63.333333333333329, 1.1339262036309899e-006)
     
     i = 0
     for d in data:
         self.EQ( stats.chisquare( d )[i], results[i] )
         i += 1

Example #2

File: test_all.py Project: avatarzhang/python-statlib

    def test_chisquare(self):
        "Testing chisquare"

        data = [self.L, self.A]

        results = (63.333333333333329, 1.1339262036309899e-006)

        i = 0
        for d in data:
            self.EQ(stats.chisquare(d)[i], results[i])
            i += 1

Example #3

print('linregress:')
print(stats.linregress(l, m))
print(stats.linregress(a, b))

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:')

Example #4

File: test_allstats.py Project: avatarzhang/python-statlib

print 'linregress:'
print stats.linregress(l,m)
print stats.linregress(a,b)

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:'

Example #5

File: test_pairedstats.py Project: haavee/RDBE

print stats.pointbiserialr(gender, score)
print stats.apointbiserialr(array(gender), array(score))

print '\n\nLinear Regression'

x = [1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4]
y = [2, 4, 4, 6, 2, 4, 7, 8, 6, 8, 7]
print '\nSHOULD BE 1.44, 1.47, 0.736, ???, 1.42 (N=11)... Basic Stats 1st ed, p.211-2'
print stats.linregress(x, y)
print stats.alinregress(array(x), array(y))

print '\n\nChi-Square'

fo = [10, 40]
print '\nSHOULD BE 18.0, <<<0.01 (df=1) ... Basic Stats 1st ed. p.457'
print stats.chisquare(fo)
print stats.achisquare(array(fo))
print '\nSHOULD BE 5.556, 0.01<p<0.05 (df=1) ... Basic Stats 1st ed. p.460'
print stats.chisquare(fo, [5, 45])
print stats.achisquare(array(fo), array([5, 45], 'f'))

print '\n\nMann Whitney U'

red = [540, 480, 600, 590, 605]
black = [760, 890, 1105, 595, 940]
print '\nSHOULD BE 2.0, 0.01<p<0.05 (N=5,5) ... Basic Stats 1st ed, p.473-4'
print stats.mannwhitneyu(red, black)
print stats.amannwhitneyu(array(red), array(black))

print '\n\nRank Sums'

Example #6

File: inferential.py Project: debbiespiegel/salstat-statistics-package-2

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

Example #7

File: test_pairedstats.py Project: avatarzhang/python-statlib

print stats.apointbiserialr(array(gender),array(score))


print '\n\nLinear Regression'

x = [1,1,2,2,2,3,3,3,4,4,4]
y = [2,4,4,6,2,4,7,8,6,8,7]
print '\nSHOULD BE 1.44, 1.47, 0.736, ???, 1.42 (N=11)... Basic Stats 1st ed, p.211-2'
print stats.linregress(x,y)
print stats.alinregress(array(x),array(y))

print '\n\nChi-Square'

fo = [10,40]
print '\nSHOULD BE 18.0, <<<0.01 (df=1) ... Basic Stats 1st ed. p.457'
print stats.chisquare(fo)
print stats.achisquare(array(fo))
print '\nSHOULD BE 5.556, 0.01<p<0.05 (df=1) ... Basic Stats 1st ed. p.460'
print stats.chisquare(fo,[5,45])
print stats.achisquare(array(fo),array([5,45],'f'))


print '\n\nMann Whitney U'

red = [540,480,600,590,605]
black = [760,890,1105,595,940]
print '\nSHOULD BE 2.0, 0.01<p<0.05 (N=5,5) ... Basic Stats 1st ed, p.473-4'
print stats.mannwhitneyu(red,black)
print stats.amannwhitneyu(array(red),array(black))

print '\n\nRank Sums'

Example #8

File: test_allstats.py Project: haavee/RDBE

print 'linregress:'
print stats.linregress(l, m)
print stats.linregress(a, b)

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:'

Example #9

File: test_pairedstats.py Project: vsobolmaven/python-statlib

print(stats.apointbiserialr(array(gender),array(score)))


print('\n\nLinear Regression')

x = [1,1,2,2,2,3,3,3,4,4,4]
y = [2,4,4,6,2,4,7,8,6,8,7]
print('\nSHOULD BE 1.44, 1.47, 0.736, ???, 1.42 (N=11)... Basic Stats 1st ed, p.211-2')
print(stats.linregress(x,y))
print(stats.alinregress(array(x),array(y)))

print('\n\nChi-Square')

fo = [10,40]
print('\nSHOULD BE 18.0, <<<0.01 (df=1) ... Basic Stats 1st ed. p.457')
print(stats.chisquare(fo))
print(stats.achisquare(array(fo)))
print('\nSHOULD BE 5.556, 0.01<p<0.05 (df=1) ... Basic Stats 1st ed. p.460')
print(stats.chisquare(fo,[5,45]))
print(stats.achisquare(array(fo),array([5,45],'f')))


print('\n\nMann Whitney U')

red = [540,480,600,590,605]
black = [760,890,1105,595,940]
print('\nSHOULD BE 2.0, 0.01<p<0.05 (N=5,5) ... Basic Stats 1st ed, p.473-4')
print(stats.mannwhitneyu(red,black))
print(stats.amannwhitneyu(array(red),array(black)))

print('\n\nRank Sums')