File:Correlation significance.svg
Summary
| Description |
English: Plot showing the minimum value of Pearson's sample correlation coefficient that would be significant at the 0.05 level for a given sample size. |
| Date | |
| Source | Own work |
| Author | Skbkekas |
| SVG development | |
| Source code | Python codeimport numpy as np
import matplotlib.pyplot as plt
N = np.arange(10,250,1)
Z = 1.96/np.sqrt(N-3)
R = (np.exp(2*Z)-1)/(np.exp(2*Z)+1)
plt.clf()
plt.figure(figsize=(4,3.4))
plt.axes([0.15,0.15,0.8,0.8])
plt.grid(True)
plt.plot(N, R, '-', color='orange', lw=3)
plt.xlabel("Sample size", size=18)
plt.ylabel("Pearson correlation", size=18)
plt.savefig("correlation_significance.pdf")
plt.savefig("correlation_significance.svg")
|
Licensing
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