NBsim: Generate simulated count based on NB distribution
In aiminy/GOSJ: A R package for GO term enrichment analysis with the flexible bias factor adjustment
Description
Generate simulated count based on NB distribution
Usage
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NBsim(dataset, group, nTags = 10000, nlibs = length(group),
fix.dispersion = NA, lib.size = NULL, drop.low.lambda = TRUE,
drop.extreme.dispersion = 0.1, add.outlier = FALSE, outlierMech = c("S",
"R", "M"), pOutlier = 0.1, min.factor = 1.5, max.factor = 10,
pDiff = 0.1, pUp = 0.5, foldDiff = 3, name = NULL,
save.file = FALSE, file = NULL, only.add.outlier = FALSE,
verbose = TRUE)
Arguments
verbose
aiminy/GOSJ documentation built on May 12, 2019, 3:38 a.m.
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Description
Generate simulated count based on NB distribution
Usage
1 2 3 4 5 6 7 | NBsim(dataset, group, nTags = 10000, nlibs = length(group),
fix.dispersion = NA, lib.size = NULL, drop.low.lambda = TRUE,
drop.extreme.dispersion = 0.1, add.outlier = FALSE, outlierMech = c("S",
"R", "M"), pOutlier = 0.1, min.factor = 1.5, max.factor = 10,
pDiff = 0.1, pUp = 0.5, foldDiff = 3, name = NULL,
save.file = FALSE, file = NULL, only.add.outlier = FALSE,
verbose = TRUE)
|
Arguments
verbose |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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