cumNormMat: Cumulative sum scaling factors.
In HCBravoLab/metagenomeSeq: Statistical analysis for sparse high-throughput sequencing
cumNormMat R Documentation
Cumulative sum scaling factors.
Description
Calculates each column's quantile and calculates the sum up to and including
that quantile.
Usage
cumNormMat(obj, p = cumNormStatFast(obj), sl = 1000)
Arguments
obj
A matrix or MRexperiment object.
p
The pth quantile.
sl
The value to scale by (default=1000).
Value
Returns a matrix normalized by scaling counts up to and including
the pth quantile.
See Also
fitZig cumNorm
Examples
data(mouseData)
head(cumNormMat(mouseData))
HCBravoLab/metagenomeSeq documentation built on Dec. 20, 2024, 4:06 p.m.
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| cumNormMat | R Documentation |
Cumulative sum scaling factors.
Description
Calculates each column's quantile and calculates the sum up to and including that quantile.
Usage
cumNormMat(obj, p = cumNormStatFast(obj), sl = 1000)
Arguments
obj |
A matrix or MRexperiment object. |
p |
The pth quantile. |
sl |
The value to scale by (default=1000). |
Value
Returns a matrix normalized by scaling counts up to and including the pth quantile.
See Also
fitZig cumNorm
Examples
data(mouseData)
head(cumNormMat(mouseData))
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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