wrapper.normalizeD {DAPAR} | R Documentation

## Normalisation

### Description

Provides several methods to normalize quantitative data from a `MSnSet` object. They are organized in six main families : GlobalQuantileAlignement, sumByColumns, QuantileCentering, MeanCentering, LOESS, vsn For the first family, there is no type. For the five other families, two type categories are available : "Overall" which means that the value for each protein (ie line in the expression data tab) is computed over all the samples ; "within conditions" which means that the value for each protein (ie line in the `exprs()` data tab) is computed condition by condition.

### Usage

    wrapper.normalizeD(obj, method, withTracking = FALSE, ...)

### Arguments

`obj` | An object of class `MSnSet`.
`method` | One of the following : "GlobalQuantileAlignment" (for normalizations of important magnitude), "SumByColumns", "QuantileCentering", "Mean Centering", "LOESS" and "vsn".
`withTracking` | xxx
`...` | xxx

### Author(s)

Samuel Wieczorek, Thomas Burger, Helene Borges

### Examples

    utils::data(Exp1_R25_pept, package='DAPARdata')
    conds <- Biobase::pData(Exp1_R25_pept)$Condition
    obj <- wrapper.normalizeD(obj = Exp1_R25_pept, method = "QuantileCentering", conds=conds, type = "within conditions")

[Package DAPAR version 1.22.9 Index]