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src/c/o/cogent-1.5.3/cogent/maths/stats/test.py   cogent(Download)
from __future__ import division
import warnings
from cogent.maths.stats.distribution import chi_high, z_low, z_high, zprob, \
    t_high, t_low, tprob, f_high, f_low, fprob, binomial_high, binomial_low, \
    ndtri
def t_tailed_prob(t, df, tails):
    """Return appropriate p-value for given t and df, depending on tails."""
    if tails == 'high':
        return t_high(t, df)
    elif tails == 'low':

src/p/y/pycogent-HEAD/cogent/maths/stats/test.py   pycogent(Download)
from __future__ import division
import warnings
from cogent.maths.stats.distribution import chi_high, z_low, z_high, zprob, \
    t_high, t_low, tprob, f_high, f_low, fprob, binomial_high, binomial_low, \
    ndtri
def t_tailed_prob(t, df, tails):
    """Return appropriate p-value for given t and df, depending on tails."""
    if tails == 'high':
        return t_high(t, df)
    elif tails == 'low':

src/q/i/qiime-1.8.0/qiime/pycogent_backports/test.py   qiime(Download)
from __future__ import division
import warnings
from cogent.maths.stats.distribution import (chi_high, z_low, z_high, zprob,
    t_high, t_low, tprob, f_high, f_low, fprob, binomial_high, binomial_low,
    ndtri)
def t_tailed_prob(t, df, tails):
    """Return appropriate p-value for given t and df, depending on tails."""
    if tails == 'high':
        return t_high(t, df)
    elif tails == 'low':

src/q/i/qiime-HEAD/qiime/pycogent_backports/test.py   qiime(Download)
from __future__ import division
import warnings
from cogent.maths.stats.distribution import (chi_high, z_low, z_high, zprob,
                                             t_high, t_low, tprob, f_high, f_low, fprob, binomial_high, binomial_low,
                                             ndtri)
def t_tailed_prob(t, df, tails):
    """Return appropriate p-value for given t and df, depending on tails."""
    if tails == 'high':
        return t_high(t, df)
    elif tails == 'low':

src/c/o/cogent-1.5.3/tests/test_maths/test_stats/test_distribution.py   cogent(Download)
 
from cogent.util.unit_test import TestCase, main
from cogent.maths.stats.distribution import z_low, z_high, zprob, chi_low, \
    chi_high, t_low, t_high, tprob, poisson_high, poisson_low, poisson_exact, \
    binomial_high, binomial_low, binomial_exact, f_low, f_high, fprob, \

src/p/y/pycogent-HEAD/tests/test_maths/test_stats/test_distribution.py   pycogent(Download)
 
from cogent.util.unit_test import TestCase, main
from cogent.maths.stats.distribution import z_low, z_high, zprob, chi_low, \
    chi_high, t_low, t_high, tprob, poisson_high, poisson_low, poisson_exact, \
    binomial_high, binomial_low, binomial_exact, f_low, f_high, fprob, \

src/p/i/picrust-HEAD/picrust/evaluate_test_datasets.py   picrust(Download)
from copy import copy
from cogent.maths.stats.test import correlation,spearman,correlation_test 
from cogent.maths.stats.distribution import tprob,t_high
from biom.table import table_factory,DenseOTUTable
 
        prob = tprob(t,n-2)
    elif tails == 'high':
        prob = t_high(t,n-2)
    elif tails == 'low':
        prob = t_low(t,n-2)