Description Usage Arguments Value Author(s)
Given the coordinates of two bivariate samples, this function calculates (computationally) the area of overlap between two standard ellipses. Note, be sure to use a sufficiently low step size when creating the ellipses (i.e. to ensure that there is no excessive discretising of the elliptical shape). As a result of this process, you will inevitably underestimate the true ellipse areas and hence their overlap (although this bias is likely to be inconsequential) if a suitable fine scale is chosen for the step size. There is no single rule for making this choice as it depends on the angle and shape of the ellipse but a step-size of 1 should be more than sufficient in most cases (N.B. the default steps=5). The ellipses calculated are the small sample size corrected standard ellipses.
| 1 | overlap(x1,y1,x2,y2,steps = 5) 
 | 
| x1 | A vector containing the x coordinates of the first data. | 
| y1 | A vector containing the y coordinates of the first data. | 
| x2 | A vector containing the x coordinates of the second data. | 
| y2 | A vector containing the y coordinates of the second data. | 
| steps | The number of steps in degrees to estimate points on the curve. | 
| overlap | The area of overlap between the two standard ellipses. | 
| area1 | The area of the first ellipse. | 
| area2 | The area of the second ellipse. | 
Andrew Jackson
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