File:Fisher transformation.svg
Summary
| Description |
English: Plot of the Fisher transformation |
| Date | |
| Source | Own work |
| Author | Skbkekas |
| SVG development | Category:Valid SVG created with Matplotlib code#Fisher%20transformation.svg  The file size of this SVG plot may be irrationally large because its text has been converted to paths inhibiting translations. |
| Source code | Python code## Python code used to generate this image
import matplotlib.pyplot as plt
import numpy as np
X = np.arange(-0.99, 1, 0.01)
Y = 0.5*np.log((1+X)/(1-X))
plt.clf()
plt.figure(figsize=(4,3.8))
plt.axes([0.15,0.15,0.8,0.8])
plt.hold(True)
plt.plot(X, X, '-', color='grey', lw=3)
plt.plot(X, Y, '-', color='orange', lw=3)
plt.grid(True)
plt.xlabel("Sample correlation coefficient", size=16)
plt.ylabel("Fisher transformation", size=16)
plt.savefig("fisher_transformation.pdf")
plt.savefig("fisher_transformation.svg")
|
Licensing
I, the copyright holder of this work, hereby publish it under the following license:
This file is licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license.
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
