scatterCompareModels {pulsedSilac} | R Documentation

## Scatter plot of two conditions for a model metric.

### Description

Scatter plot of two conditions/replicates for a selected metric of a model. For example to compare turnover rates, model errors... `facet_wrap`.

### Usage

    scatterCompareModels(
      modelList,
      conditions,
      value = "param_values",
      returnDataFrame = FALSE
    )

### Arguments

`modelList` | A list containing all the model objects, this should be the output of `modelTurnover` with returnModel as TRUE.
`conditions` | A `character` of length 2 indicating which 2 conditions should be compared.
`value` | A `character` indicating which metric to plot. Check `names(modelList)` for available options. (Default = 'param_values')
`returnDataFrame` | A `logical` indicating if the `data.frame` used for the plot should be returned instead.

### Value

A `ggplot` object or the `data.frame` that would be used instead in the plot.

### 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)

    scatterCompareModels(modelList = modelList,
                         conditions = c('OW40', 'OW450'),
                         value = 'param_values')

[Package pulsedSilac version 1.0.1 Index]