DAPAR (version 1.4.7)

wrapper.compareNormalizationD: Builds a plot from a dataframe

Description

Wrapper to the function that plot to compare the quantitative proteomics data before and after normalization

Usage

wrapper.compareNormalizationD(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

Examples

data(UPSpep25)
labels <- Biobase::pData(UPSpep25)[,"Label"]
objAfter <- wrapper.normalizeD(UPSpep25, "Median Centering", 
"within conditions")
wrapper.compareNormalizationD(UPSpep25, objAfter, labels)