[英]Chi Square Test of Independence in Python
Under Ubuntu 10.04.4, using Python 2.6.5, NumPy and SciPy, is it possible to do a chi square test of independence? 在Ubuntu 10.04.4下,使用Python 2.6.5,NumPy和SciPy,是否可以进行卡方检验的独立性? In
R
, this is achieved with the following: 在
R
,这可以通过以下方式实现 :
> row1 = c(91,90,51)
> row2 = c(150,200,155)
> row3 = c(109,198,172)
> data.table = rbind(row1,row2,row3)
> chisq.test(data.table)
How can I do this in Python? 我怎么能用Python做到这一点?
from scipy.stats import chi2_contingency
row1 = [91,90,51]
row2 = [150,200,155]
row3 = [109,198,172]
data=[row1,row2,row3]
print chi2_contingency(data)
Output: 输出:
(25.085973274234959, 4.8346447416999636e-05, 4, array([[ 66.77631579, 93.10526316, 72.11842105],
[ 145.35361842, 202.66447368, 156.98190789],
[ 137.87006579, 192.23026316, 148.89967105]]))
R Output: R输出:
Pearson's Chi-squared test
data: data.table
X-squared = 25.086, df = 4, p-value = 4.835e-05
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