statsmodels.graphics.agreement.mean_diff_plot(m1, m2, sd_limit=1.96, ax=None, scatter_kwds=None, mean_line_kwds=None, limit_lines_kwds=None)
Tukey’s Mean Difference Plot.
Tukey’s Mean Difference Plot (also known as a Bland-Altman plot) is a graphical method to analyze the differences between two methods of measurement. The mean of the measures is plotted against their difference.
For more information see https://en.wikipedia.org/wiki/Bland-Altman_plot
fig – If
Bland JM, Altman DG (1986). “Statistical methods for assessing agreement between two methods of clinical measurement”
Load relevant libraries.
>>> import statsmodels.api as sm >>> import numpy as np >>> import matplotlib.pyplot as plt
Making a mean difference plot.
>>> # Seed the random number generator. >>> # This ensures that the results below are reproducible. >>> np.random.seed(9999) >>> m1 = np.random.random(20) >>> m2 = np.random.random(20) >>> f, ax = plt.subplots(1, figsize = (8,5)) >>> sm.graphics.mean_diff_plot(m1, m2, ax = ax) >>> plt.show()
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© 2006 Jonathan E. Taylor
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