adjustpy
a simple utility python module to calculate adjusted p-values.
Introduction
I was tired to copying over the same function between python scripts so I decided to write this into a simple utilty you can install via pip.
The computation is done with my adjustp
rust crate which I created to replicate the same p-value corrections done in R.
Installation
You can install this python module using pip.
pip install adjustpy
Usage
This is a single-function library which expects any dimension numpy arrays.
1 Dimensional Input
import numpy as np
from adjustpy import adjust
p_values = np.array([0.02, 0.05, 0.08, 0.11, 0.04])
q_values = adjust(p_values, method="bh")
# array([0.08333333, 0.08333333, 0.1 , 0.11 , 0.08333333])
print(q_values)
2 Dimensional Input
This works with multidimensional input as well, but will return a 1D output. This is easy to work around though as you can just reshape to your original input shape.
import numpy as np
from adjustpy import adjust
p_values = np.random.random((10, 10))
q_values_flat = adjust(p_values, method="bh")
q_values = adjust(p_values, method="bh").reshape(p_values.shape)
# (100,)
print(q_values_flat.shape)
# (10, 10)
print(q_values.shape)
1 maintainer
Metadata
1 maintainer
Release files for adjustpy 0.1.2
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