wrapper.compareNormalizationD_HC {DAPAR} | R Documentation

## Builds a plot from a dataframe

### Description

Wrapper to the function that plot to compare the quantitative proteomics data before and after normalization. Same as the function wrapper.compareNormalizationD but uses the package `highcharter`

### Usage

    wrapper.compareNormalizationD_HC(objBefore, objAfter, labelsForLegend = NULL,
      indData2Show = NULL, group2Color = "Condition")

### Arguments

`objBefore` | A dataframe that contains quantitative data before normalization.
`objAfter` | A dataframe that contains quantitative data after normalization.
`labelsForLegend` | A vector of the conditions (labels) (one label per sample).
`indData2Show` | A vector of the indices of the columns to show in the plot. The indices are those of indices of the columns int the data.frame qDataBefore.
`group2Color` | A string that indicates how to color the replicates: one color per condition (value "Condition") or one color per replicate (value "Replicate"). Default value is by Condition.

### Value

A plot

### Author(s)

Samuel Wieczorek

### Examples

    require(DAPARdata)
    data(Exp1_R25_pept)
    labels <- Biobase::pData(Exp1_R25_pept)[,"Label"]
    objAfter <- wrapper.normalizeD(Exp1_R25_pept, "Median Centering",
    "within conditions")
    wrapper.compareNormalizationD_HC(Exp1_R25_pept, objAfter, labels)

[Package DAPAR version 1.10.4 Index]