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Files in this tarball README: file thatyou're reading c.range-counting-tree: directory with range counting tree | |-- rct.h: interface to range tree |-- rct.c: range tree implementation point: directory with definition of 2-d point | |-- point.h: interface |-- point.c: implementation peacock: directory with Peacock's test |- c.bf: brute force implmentation iof Peacock's test |- c.rct: range counting tree implementation of Peacock's test | |- peacock.h: interface of Peacock's test |- peacock.c: implementation of Peacock's test using range trees |- statistic.c: test program ff: directory with Fasano and Franceschini's test |- c.rct: range counting tree implementation of the test | |- ff.h: interface to the test |- ff.c: implementation of the test using range trees |- statistic.c: test program Compilation: From peacock/c.rct: gcc -std=c99 -Wall rct.c peacock.c point.c statistic.c -o p From ff/c.rct: gcc -std=c99 -Wall rct.c ff.c point.c statistic.c -o ff Execution: the test programs share the same interface: they read the points from STDIN one point per line (x-coordinate, followed by space, followed by y-coordinate) they assume assume a unique input stream with all points from both samples they receive two command-line arguments: numeber of points in each sample From ff/c.rct, assuming that s0 contains 1024 and s1 contains 1024 points cat s0 | cat _ s1 | ./ff 1024 1024 both programs output time for computing and distance IMPORTANT: - time is computed using clock. not reliable for long runs - distance is the value returned. NOT probability - See Peacock's or Fasano and Franceschini's papers (also Press et ali's "Numerical recipes") for trivial algorithm for probability computation # vi:sw=4 ts=4 sm et autoindent backspace=eol,start,indent lines=35 columns=120
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2D Kolmogorov Smirmonov statistic
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