Did I find the right examples for you? yes no      Crawl my project      Python Jobs

# cogent.maths.stats.distribution.f_high

All Samples(14)  |  Call(8)  |  Derive(0)  |  Import(6)

```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
```
```        return dfn, dfd, F, f_low(dfn, dfd, F)
elif tails == 'high':
return dfn, dfd, F, f_high(dfn, dfd, F)
else:
if var(a) >= var(b):
```
```    between_MS = between_MS/dfn
F = between_MS/within_MS
return dfn, dfd, F, between_MS, within_MS, group_means, f_high(dfn, dfd, F)

def MonteCarloP(value, rand_values, tail = 'high'):
```

```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
```
```        return dfn, dfd, F, f_low(dfn, dfd, F)
elif tails == 'high':
return dfn, dfd, F, f_high(dfn, dfd, F)
else:
if var(a) >= var(b):
```
```    between_MS = between_MS/dfn
F = between_MS/within_MS
return dfn, dfd, F, between_MS, within_MS, group_means, f_high(dfn, dfd, F)

def MonteCarloP(value, rand_values, tail = 'high'):
```

```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)
```
```        return dfn, dfd, F, f_low(dfn, dfd, F)
elif tails == 'high':
return dfn, dfd, F, f_high(dfn, dfd, F)
else:
if var(a) >= var(b):
```
```    between_Groups = between_Groups/dfn
F = between_Groups/within_Groups
return F, f_high(dfn, dfd, F)

def MonteCarloP(value, rand_values, tail = 'high'):
```

```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)
```
```        return dfn, dfd, F, f_low(dfn, dfd, F)
elif tails == 'high':
return dfn, dfd, F, f_high(dfn, dfd, F)
else:
if var(a) >= var(b):
```
```    between_Groups = between_Groups / dfn
F = between_Groups / within_Groups
return F, f_high(dfn, dfd, F)

```

```
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, \
```

```