本文整理匯總了Python中scipy.special.fdtrc方法的典型用法代碼示例。如果您正苦於以下問題：Python special.fdtrc方法的具體用法？Python special.fdtrc怎麽用？Python special.fdtrc使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類scipy.special的用法示例。
在下文中一共展示了special.fdtrc方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: f_oneway
# 需要導入模塊: from scipy import special [as 別名]
# 或者: from scipy.special import fdtrc [as 別名]
def f_oneway(*args):
"""
Performs a 1-way ANOVA, returning an F-value and probability given
any number of groups. From Heiman, pp.394-7.
Usage: ``f_oneway(*args)``, where ``*args`` is 2 or more arrays,
one per treatment group.
Returns
-------
statistic : float
The computed F-value of the test.
pvalue : float
The associated p-value from the F-distribution.
"""
# Construct a single array of arguments: each row is a group
data = argstoarray(*args)
ngroups = len(data)
ntot = data.count()
sstot = (data**2).sum() - (data.sum())**2/float(ntot)
ssbg = (data.count(-1) * (data.mean(-1)-data.mean())**2).sum()
sswg = sstot-ssbg
dfbg = ngroups-1
dfwg = ntot - ngroups
msb = ssbg/float(dfbg)
msw = sswg/float(dfwg)
f = msb/msw
prob = special.fdtrc(dfbg, dfwg, f) # equivalent to stats.f.sf
return F_onewayResult(f, prob) 示例2: _sf
# 需要導入模塊: from scipy import special [as 別名]
# 或者: from scipy.special import fdtrc [as 別名]
def _sf(self, x, dfn, dfd):
return sc.fdtrc(dfn, dfd, x)