cumNorm: Cumulative sum scaling normalization
In HCBravoLab/metagenomeSeq: Statistical analysis for sparse high-throughput sequencing
cumNorm R Documentation
Cumulative sum scaling normalization
Description
Calculates each column's quantile and calculates the sum up to and including
that quantile.
Usage
cumNorm(obj, p = cumNormStatFast(obj))
Arguments
obj
An MRexperiment object.
p
The pth quantile.
Value
Object with the normalization factors stored as
a vector of the sum up to and including a sample's pth quantile.
See Also
fitZig cumNormStat
Examples
data(mouseData)
mouseData <- cumNorm(mouseData)
head(normFactors(mouseData))
HCBravoLab/metagenomeSeq documentation built on Dec. 20, 2024, 4:06 p.m.
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| cumNorm | R Documentation |
Cumulative sum scaling normalization
Description
Calculates each column's quantile and calculates the sum up to and including that quantile.
Usage
cumNorm(obj, p = cumNormStatFast(obj))
Arguments
obj |
An MRexperiment object. |
p |
The pth quantile. |
Value
Object with the normalization factors stored as a vector of the sum up to and including a sample's pth quantile.
See Also
fitZig cumNormStat
Examples
data(mouseData)
mouseData <- cumNorm(mouseData)
head(normFactors(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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