File:Spearman fig2.svg
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Original file (SVG file, nominally 360 × 341 pixels, file size: 56 KB)
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Summary
| Description |
English: Scatterplot comparing Pearson and Spearman correlation. |
| Date | |
| Source | Own work |
| Author | Skbkekas |
| Other versions |
[]
|
| SVG development |  This plot was created with Matplotlib. |
| Source code | Python codeimport matplotlib.pyplot as plt
import numpy as np
r = 0.4
X = np.random.normal(size=100)
Y = r*X + np.sqrt(1-r**2)*np.random.normal(size=100)
cp = np.cov(X,Y)
cp = cp[0,1]/np.sqrt(cp[0,0]*cp[1,1])
XR = np.argsort(np.argsort(X))
YR = np.argsort(np.argsort(Y))
cr = np.cov(XR,YR)
cr = cr[0,1]/np.sqrt(cr[0,0]*cr[1,1])
plt.clf()
plt.figure(figsize=(4,3.8))
plt.axes([0.17,0.12,0.8,0.75])
plt.hold(True)
plt.plot(X, Y, 'o', color='orange')
plt.grid(True)
plt.title("Spearman correlation=%.2f\nPearson correlation=%.2f" % (cr,cp))
plt.xlabel("X", size=16)
plt.ylabel("Y", size=16)
plt.savefig("spearman_fig2.pdf")
plt.savefig("spearman_fig2.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:
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- 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.
File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 15:18, 18 December 2009 | | 360 × 341 (56 KB) | Skbkekas | {{Information |Description={{en|1=Scatterplot comparing Pearson and Spearman correlation.}} |Source={{own}} |Author=Skbkekas |Date=2009-12-18 |Permission= |other_versions= }} Category:Statistical diagrams |
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