divNorm {RNAither} | R Documentation

## Mean, median, ... , normalization

### Description

Normalization with the mean, median, or any other function.

### Usage

    divNorm(header, dataset, listOfArgs)

### Arguments

`header` | the header of a dataset file generated with `generateDatasetFile`
`dataset` | an R data frame generated with `generateDatasetFile`
`listOfArgs` | a list containing: - a character string specifying the column whose values will be used for normalization - a function to be used for the normalization, e.g. `mean`, `median`, ... - 1 or 2, 1 meaning a normalization per experiment, 2 meaning a normalization per plate - 1 or 2, 1 meaning the normalization is achieved by a division of the intensity values by the outcome of `funname`, 2, meaning by a substraction - a flag specifying whether controls should be excluded for the computation of the result of the function specified in the first element (1) or not (0).

### Value

Returns a list containing:

`header` | the new header (with an added entry about the normalization procedure in the comments)
`dataset` | the new dataset with normalized values. The old values are saved in an extra column with the suffix ".old"

### Examples

    data(exampleHeader, package="RNAither")
    data(exampleDataset, package="RNAither")

    normres <- divNorm(header, dataset, list(median, 2, 1, "SigIntensity", 1))

    newheader <- normres[[1]]
    newdataset <- normres[[2]]

[Package RNAither version 2.36.0 Index]