compareNormalizationD_HC {DAPAR} | R Documentation

## Builds a plot from a dataframe. Same as compareNormalizationD but uses the library `highcharter`

### Description

Plot to compare the quantitative proteomics data before and after normalization using the library `highcharter`

### Usage

    compareNormalizationD_HC(
      qDataBefore,
      qDataAfter,
      condsForLegend = NULL,
      indData2Show = NULL,
      palette = NULL
    )

### Arguments

`qDataBefore` | A dataframe that contains quantitative data before normalization.
`qDataAfter` | A dataframe that contains quantitative data after normalization.
`condsForLegend` | A vector of the conditions (one condition 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.
`palette` | xxx

### Value

A plot

### Author(s)

Samuel Wieczorek

### Examples

    utils::data(Exp1_R25_pept, package='DAPARdata')
    obj <- Exp1_R25_pept[1:1000]
    qDataBefore <- Biobase::exprs(obj)
    conds <- Biobase::pData(obj)[,"Condition"]
    objAfter <- wrapper.normalizeD(obj,"QuantileCentering","within conditions")
    compareNormalizationD_HC(qDataBefore, Biobase::exprs(objAfter), conds)

[Package DAPAR version 1.19.18 Index]