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A method to calculate the overlap coefficient between two empirical distributions (that can be used as a measure of similarity between two samples).
overlap( x, y, method_density = "kernel", method_auc = "trapezoid", precision = 2^10, extend = TRUE, extend_scale = 0.1, ... )
Vector of x values.
Density estimation method. See estimate_density.
estimate_density
Area Under the Curve (AUC) estimation method. See area_under_curve.
area_under_curve
Number of points of density data. See the n parameter in density.
n
density
Extend the range of the x axis by a factor of extend_scale.
extend_scale
Ratio of range by which to extend the x axis. A value of 0.1 means that the x axis will be extended by 1/10 of the range of the data.
0.1
1/10
Currently not used.
# NOT RUN { library(bayestestR) x <- distribution_normal(1000, 2, 0.5) y <- distribution_normal(1000, 0, 1) overlap(x, y) plot(overlap(x, y)) # }
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