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scanonevar.boot conducts a nonparametric bootstrap of one chromosome to establish a confidence interval on any peaks
scanonevar.boot
scanonevar.boot(sov, n.resamples, chr, qtl_type = c("mQTL", "vQTL", "mvQTL"), random.seed = 27599, n.cores = parallel::detectCores() - 2, silent = FALSE)
the scanonevar whose significance should be assessed empirically in an FWER-controlling method
the number of resamples
which chromosome to focus on
which type of QTL did you detect and want a CI for? mQTL, vQTL, or mvQTL.
value to start the random number generator at, for reproducibility
number of cores to use for the permutations
Should all messaging be suppressed?
27599
# NOT RUN { set.seed(27599) test.cross <- qtl::sim.cross(map = qtl::sim.map(len = rep(20, 5), n.mar = 5), n.ind = 50) sov <- scanonevar(cross = test.cross) # }
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