cumNorm: Cumulative sum scaling normalization

In metagenomeSeq: Statistical analysis for sparse high-throughput sequencing

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))

metagenomeSeq documentation built on Nov. 8, 2020, 5:34 p.m.