test_simulateAMR <- function () {
data(ramr)
RUnit::checkException(
simulateAMR("ramr.data", 2)
)
RUnit::checkException(
simulateAMR(ramr.data, nsamples=2, sample.names=c("a"))
)
RUnit::checkEquals(
length( simulateAMR(ramr.data, nsamples=6, exclude.ranges=ramr.tp.unique) ),
6
)
RUnit::checkEquals(
length( simulateAMR(ramr.data, nsamples=1000, regions.per.sample=1000, samples.per.region=1000, merge.window=1000) ),
143**2
)
unique <- simulateAMR(ramr.data, nsamples=29, regions.per.sample=2, samples.per.region=1)
nonunique <- simulateAMR(ramr.data, nsamples=20, exclude.ranges=unique, merge.window=1000, regions.per.sample=5, samples.per.region=3)
noise <- simulateAMR(ramr.data, nsamples=100, exclude.ranges=c(unique,nonunique), merge.window=1, min.cpgs=1, max.cpgs=1, regions.per.sample=1000, samples.per.region=1)
RUnit::checkEquals(
sum(GenomicRanges::countOverlaps(unique, nonunique)),
0
)
RUnit::checkEquals(
sum(GenomicRanges::countOverlaps(noise, c(unique,nonunique))),
0
)
}
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