MeanCentering {DAPAR} | R Documentation

## Normalisation MeanCentering

### Description

Normalisation MeanCentering

### Usage

    MeanCentering(
      qData,
      conds,
      type = "overall",
      subset.norm = NULL,
      scaling = FALSE
    )

### Arguments

`qData` | xxx
`conds` | xxx
`type` | "overall" (shift all the sample distributions at once) or "within conditions" (shift the sample distributions within each condition at a time).
`subset.norm` | A vector of index indicating rows to be used for normalization
`scaling` | A boolean that indicates if the variance of the data have to be forced to unit (variance reduction) or not.

### Value

A normalized numeric matrix

### Author(s)

Samuel Wieczorek, Thomas Burger, Helene Borges, Anais Courtier, Enora Fremy

### Examples

    utils::data(Exp1_R25_pept, package='DAPARdata')
    qData <- Biobase::exprs(Exp1_R25_pept)
    conds <- Biobase::pData(Exp1_R25_pept)$Condition
    normalized <- MeanCentering(qData, conds, type="overall")

[Package DAPAR version 1.22.9 Index]