sample.nb: Generate negative binomial count table random sample.
In lunge111/intSEQ: Differential Expression Analysis of RNA-seq Data with Integrated Likelihood Method
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Examples
Description
Simulate a count table follows negative binomial or Poisson distribution with same mean.
Usage
1
sample.nb(mom, nsamp = 3)
Arguments
mom
A matrix of two columns. The mean (1st column) and dispersions(2nd column).
nsamp
Number of samples.
Details
This function is used to simulate Negative Binomial/Poisson sample of one group in NBsimu. See NBsimu for detail.
Value
A numeric matrix of synthetic RNA-seq data
Author(s)
Yilun Zhang, David Rocke
See Also
Examples
1
2
lunge111/intSEQ documentation built on May 20, 2019, 9:38 a.m.
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Description Usage Arguments Details Value Author(s) See Also Examples
Description
Simulate a count table follows negative binomial or Poisson distribution with same mean.
Usage
1 | sample.nb(mom, nsamp = 3)
|
Arguments
mom |
A matrix of two columns. The mean (1st column) and dispersions(2nd column). |
nsamp |
Number of samples. |
Details
This function is used to simulate Negative Binomial/Poisson sample of one group in NBsimu. See NBsimu for detail.
Value
A numeric matrix of synthetic RNA-seq data
Author(s)
Yilun Zhang, David Rocke
See Also
Examples
1 2 |
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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