Created
January 30, 2017 01:37
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Simulate null hypothesis distribution for Serrano's disparity filter
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| generate_distances = function(k){ | |
| u_k = c(0,sort(runif(k-1)),1) | |
| u_k[-1] - u_k[-(k+1)] | |
| } | |
| iters=1e4 | |
| d = c(replicate(iters, generate_distances(2))) | |
| plot(density(d), ylim=c(0,5)) | |
| #abline(v=mean(d), lty=2) | |
| for(k in 3:6){ | |
| d = c(replicate(iters, generate_distances(k))) | |
| lines(density(d), col=k) | |
| #abline(v=mean(d), col=k, lty=2) | |
| } | |
| legend("topright", col=c(1,3:6), lty=1, title="degree", legend=2:6) |
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