plotIndividualModel {pulsedSilac} | R Documentation

## Fitted model(s) for a feature

### Description

Plot the model fit for a specific protein/peptide in different conditions.

### Usage

    plotIndividualModel(x, ...)

    ## S4 method for signature 'SilacProteinExperiment'
    plotIndividualModel(x, modelList, num, returnDataFrame = FALSE)

    ## S4 method for signature 'SilacPeptideExperiment'
    plotIndividualModel(x, modelList, num, returnDataFrame = FALSE)

    ## S4 method for signature 'SilacProteomicsExperiment'
    plotIndividualModel(x, modelList, num, returnDataFrame = FALSE)

### Arguments

`x` | A `SilacProteinExperiment`, `SilacPeptideExperiment` or `SilacProteomicsExperiment` object.
`...` | Unused.
`modelList` | A list containing all the model objects, this should be the output of `modelTurnover` with returnModel as TRUE.
`num` | The feature number to be plotted.
`returnDataFrame` | A `logical` indicating if the `data.frame` used for the plot should be returned instead.

### Value

A scatter plot with a fitted line or a `data.frame`.

### Examples

    data('wormsPE')
    wormsPE <- calculateIsotopeFraction(wormsPE, ratioAssay = 'ratio')

    modelList <- modelTurnover(x = wormsPE[1:10],
                               assayName = 'fraction',
                               formula = 'fraction ~ 1 - exp(-k*t)',
                               start = list(k = 0.02),
                               mode = 'protein',
                               robust = FALSE,
                               returnModel = TRUE)

    plotIndividualModel(x = wormsPE,
                        modelList = modelList,
                        num = 2)

[Package pulsedSilac version 1.6.0 Index]