英文:
Scipy.Stats Error. Why is the function stats.combine_pvalues not accepting my weights for Stouffer method?
问题
我有两个字典，下面是要翻译的代码部分：
import scipy.stats
import numpy as np
import pandas as pd
exp_pvalues={'SC_1': array([0.96612999, 0.30348366]),
'SC_2': array([0.66871158, 0.0011381 ]),
'SC_3': array([0.66871158, 0.0011381, 0.96612999, 0.30348366]),
'SC_4': array([0.66871158, 0.0011381, 0.46018094, 0.30348366]),
'SC_5': array([0.66871158, 0.0011381, 0.18113085, 0.04860657]),
'SC_6': array([6.68711583e-01, 1.13809558e-03, 0.00000000e+00, 8.54560803e-07]),
'SC_7': array([6.68711583e-001, 1.13809558e-003, 8.47561031e-131, 1.28484156e-018])}
weights_final={'SC_1': array([0.5, 0.5]),
'SC_2': array([0.5, 0.5]),
'SC_3': array([0.25, 0.25, 0.25, 0.25]),
'SC_4': array([0.49751244, 0.49751244, 0.00248756, 0.00248756]),
'SC_5': array([0.47619048, 0.47619048, 0.02380952, 0.02380952]),
'SC_6': array([0.32786885, 0.32786885, 0.01639344, 0.32786885]),
'SC_7': array([0.38461538, 0.38461538, 0.07692308, 0.15384615])}
以下函数适用于除Stouffer之外的所有单独方法，但在包括权重时输出也发生了变化，那么为什么这个Stouffer函数失败了？
combined_pvalues_Stouffer_weighted = {}
for key, values in exp_pvalues.items():
test_stat, combined_pval= stats.combine_pvalues(values, method='stouffer', weights
= weights_final)
combined_pvalues_Stouffer_weighted[key] = combined_pval
ValueError: pvalues and weights must be of the same size.
英文:
I have two dictionaries,
import scipy.stats
import numpy as np
import pandas as pd
exp_pvalues={'SC_1': array([0.96612999, 0.30348366]),
'SC_2': array([0.66871158, 0.0011381 ]),
'SC_3': array([0.66871158, 0.0011381 , 0.96612999, 0.30348366]),
'SC_4': array([0.66871158, 0.0011381 , 0.46018094, 0.30348366]),
'SC_5': array([0.66871158, 0.0011381 , 0.18113085, 0.04860657]),
'SC_6': array([6.68711583e-01, 1.13809558e-03, 0.00000000e+00, 8.54560803e-07]),
'SC_7': array([6.68711583e-001, 1.13809558e-003, 8.47561031e-131, 1.28484156e-018])}
weights_final={'SC_1': array([0.5, 0.5]),
'SC_2': array([0.5, 0.5]),
'SC_3': array([0.25, 0.25, 0.25, 0.25]),
'SC_4': array([0.49751244, 0.49751244, 0.00248756, 0.00248756]),
'SC_5': array([0.47619048, 0.47619048, 0.02380952, 0.02380952]),
'SC_6': array([0.32786885, 0.32786885, 0.01639344, 0.32786885]),
'SC_7': array([0.38461538, 0.38461538, 0.07692308, 0.15384615])}
The following function works for everything single other method but stouffers. The outputs changed as well when weights were included so why is this stouffers function failing?
combined_pvalues_Stouffer_weighted = {}
for key, values in exp_pvalues.items():
test_stat, combined_pval= stats.combine_pvalues(values, method='stouffer', weights
= weights_final)
combined_pvalues_Stouffer_weighted[key] = combined_pval
ValueError: pvalues and weights must be of the same size.
答案1
得分: 1
你的代码中需要使用weights_final[key]。
英文:
You need weights_final[key] in your code
combined_pvalues_Stouffer_weighted = {}
for key, values in exp_pvalues.items():
test_stat, combined_pval= stats.combine_pvalues(values, method='stouffer', weights
= weights_final[key])
combined_pvalues_Stouffer_weighted[key] = combined_pval
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