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Update circstats.py #1

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18 changes: 12 additions & 6 deletions snippets/circstats.py
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Original file line number Diff line number Diff line change
Expand Up @@ -54,7 +54,7 @@
]

import numpy as np
from scipy.stats import chi2
from scipy.stats import chi2, norm
from scipy.special import iv


Expand Down Expand Up @@ -742,14 +742,20 @@ def _corrcc(alpha1, alpha2, nanrobust, axis=None):
else:
sumfunc = lambda x: np.sum(x, axis=axis)

num = 4 * (sumfunc(c1*c2) * sumfunc(s1*s2) -
sumfunc(c1*s2) * sumfunc(s1*c2))
den = np.sqrt((n**2 - sumfunc(c1_2)**2 - sumfunc(s1_2)**2) *
(n**2 - sumfunc(c2_2)**2 - sumfunc(s2_2)**2))
num = 4 * (sumfunc(c1*c2) * sumfunc(s1*s2) - sumfunc(c1*s2) * sumfunc(s1*c2))

den = np.sqrt((n**2 - sumfunc(c1_2)**2 - sumfunc(s1_2)**2) * (n**2 - sumfunc(c2_2)**2 - sumfunc(s2_2)**2))

rho = num / den

return rho
l20 = np.mean(np.power(np.sin(alpha1 - mean(alpha1)),2))
l02 = np.mean(np.power(np.sin(alpha2 - mean(alpha2)),2))
l22 = np.mean(np.power(np.sin(alpha1 - mean(alpha1)),2) * np.power(np.sin(alpha2 - mean(alpha2)), 2));

ts = np.sqrt((n * l20 * l02)/l22) * rho;
pval = 2.0 * (1.0 - norm().cdf(np.abs(ts)));

return (rho, pval)


def corrcc(alpha1, alpha2, axis=None, nancheck=True):
Expand Down