normQuant: x

Usage Arguments Value Note Author(s) References Examples

Usage

1
normQuant(A, ties = TRUE, normvector)

Arguments

A

numeric matrix. Missing values are allowed.

ties

If ‘TRUE’, ties in each row of ‘A’ are treated in careful way. tied values will be normalized to the mean of the corresponding pooled quantiles.

normvector

numeric vector of values corresponding to the quantiles distribution to fit. Note that 'normvector' must have the same length than the number of columns of 'A'

Value

A matrix of the same dimensions as ‘A’ containing the normalized values.

Note

Function inpired from normalizaeQuantiles from the limma package (Gordon Smyth)

Author(s)

Benjamin Haibe-Kains

References

Bolstad, B. M., Irizarry R. A., Astrand, M., and Speed, T. P. (2003), A comparison of normalization methods for high density oligonucleotide array data based on bias and variance. Bioinformatics, 19:185-193.

Examples

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dd <- matrix(runif(1500), ncol=15, nrow=10)
dd.nq <- normQuant(A=dd)

bhklab/MetaGx documentation built on May 12, 2019, 8:25 p.m.