jaccard | R Documentation |
calculate the jaccard distance between sets of intervals
jaccard(
x,
y,
proportion.overlap = 1e-09,
reciprocal.overlap = FALSE,
check.zero.based = TRUE,
check.chr = TRUE,
check.valid = TRUE,
check.sort = TRUE,
check.merge = TRUE,
verbose = TRUE
)
x |
first region to be compared |
y |
second region to be compared |
proportion.overlap |
Defaults 1e-9 which is 1 bp. See details below for the different interpretation between 0 and 1 based overlap |
reciprocal.overlap |
Should the proportion.overlap be reciprocal |
check.zero.based |
should 0 based coordinates be checked |
check.chr |
should chr prefix be checked |
check.valid |
should the region be checkded for integerity |
check.sort |
should regions be checked for sort order |
check.merge |
should overlapping regions be checked |
verbose |
should log messages and checking take place |
The Jaccard metric is the ratio of intersections to unions. The process can be tweaked by changing the proportion of overlap and even growiwng the regions.
A short vector.
Daryl Waggott
http://bedtools.readthedocs.io/en/latest/content/tools/jaccard.html
reldist
if (check.binary("bedtools")) {
index <- get.example.regions();
a <- index[[1]];
b <- index[[2]];
a <- bedr(engine = "bedtools", input = list(i = a), method = "sort", params = "");
b <- bedr(engine = "bedtools", input = list(i = b), method = "sort", params = "");
jaccard(a,b);
}
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