online.quantile: online.quantile Quantile normalization tools for online...
In RPA: RPA: Robust Probabilistic Averaging for probe-level analysis

Description Usage Arguments Details Value Author(s) References Examples

online.quantile Quantile normalization tools for online preprocessing. Estimate quantiles for quantile normalization based on subset of the data (random, or specified by the user).

1	online.quantile(abatch, n)

`abatch`	AffyBatch
`n`	Numeric: number of random samples to use to define quantile basis. Vector: specify samples to be used in quantile basis calculation.

"online.quantile": Ordinary quantile normalization is exhaustively memory-consuming in alrge data sets. Then the quantiles can be calculated based on subset of the data to allow efficient normalization. This function can also be used to investigate effect of subset size to convergence of the quantile estimates;"qnorm.basis.online": sweeps through the data in batches to calculate the basis for quantile normalization (average over sorted profiles).

"online.quantile": AffyBatch; "qnorm.basis.online": a vector containing the basis for quantile normalization.

Leo Lahti leo.lahti@iki.fi

See citation("RPA")

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RPA Copyright (C) 2008-2016 Leo Lahti.
This program comes with ABSOLUTELY NO WARRANTY.
This is free software, and you are welcome to redistribute it under the FreeBSD open source license.

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