summarizeAdjFluo {CONFESS} | R Documentation

## summarizeAdjFluo

### Description

A wrapper of the functions used for run effect and background correction. It gives the the corrected, transformed corrected and mixture groups of each baseline run.

### Usage

    summarizeAdjFluo(data, transformation, BGmethod, maxMix, reference,
      prior.pi, flex.reps, flexmethod, image.type, savePlot, seed)

### Arguments

`data` | List. A list with the fluorescence signal information of both channels.
`BGmethod` | Character string. The type of image background correction to be performed. One of "normexp" or "subtract".
`maxMix` | Integer. The maximum number of components to fit into the mixture of regressions model. If maxMix=1 or if the the optimal number of the estimated components is 1, the model reduces to the classical 2-way ANOVA.
`reference` | Numeric vector. Specifies the runs to be used as baseline (iteratively).
`prior.pi` | Float. The prior probability to accept a component.
`flex.reps` | Integer. The iterations of the Expectation-Maximization algorithm to estimate the flexmix model.
`flexmethod` | Character string. A method to estimate the optimal number of flexmix components. One of "BIC", "AIC", "ICL".
`image.type` | Character string. A triplet of IDs to characterize the type of images under study.
`savePlot` | Character string. The directory to store the plots or an option to print them on the screen.
`seed` | Integer. An optional seed number for the Random Number Generator.
`transform` | Character string. The type of transformation to be performed. One of "bc" (Box-Cox), "log", "log10" or "asinh".

### Value

A list with the adjusted fluorescence signals

[Package CONFESS version 1.16.0 Index]