cumNormMat: Cumulative sum scaling factors.

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

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))

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