ddCtAbsolute {ddCt} | R Documentation

## absolute quantification for Taqman data

### Description

absolute quantification for Taqman data

### Usage

    ddCtAbsolute(raw.table, addData, type = "mean", ADD = -30.234, DIV = -1.6268, sampleInformation = NULL, toZero = FALSE, filename = "warning.output.txt")

### Arguments

`raw.table` | data frame. It must contain columns with the following names:'Ct','Sample','Detector','Platename'. The column 'Ct' must contain numeric values.
`addData` | add data
`type` | character of length 1. 'mean' or 'median'- which method should be used for the aggregation of the repicates
`ADD` | Add constant
`DIV` | Div constant
`sampleInformation` | if specified it must be an object of class `phenoData` with a column named 'Sample'.
`toZero` | boolean - if there is only one replication should the error be treated as zero ? (only if 'type' is mean)
`filename` | character of length 1. The name of the file the warnings should be stored in.

### Value

A an object of class `eSet`. The assayData has the following components: exprs, error, Ct, Ct.error, Difference, number\_NA, number, Plate.

### Author(s)

Markus Ruschhaupt mailto:m.ruschhaupt@dkfz.de

### References

~put references to the literature/web site here ~

[Package ddCt version 1.42.0 Index]