Learn R Programming

DAPAR (version 1.4.7)

compareNormalizationD: Builds a plot from a dataframe

Description

Plot to compare the quantitative proteomics data before and after normalization

Usage

compareNormalizationD(qDataBefore, qDataAfter, labelsForLegend = NULL, indData2Show = NULL, group2Color = "Condition")

Arguments

qDataBefore
A dataframe that contains quantitative data before normalization.
qDataAfter
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

Run this code
data(UPSpep25)
qDataBefore <- Biobase::exprs(UPSpep25)
labels <- Biobase::pData(UPSpep25)[,"Label"]
qDataAfter <- normalizeD(qDataBefore,labels,"Median Centering",
"within conditions")
compareNormalizationD(qDataBefore, qDataAfter, labels)

Run the code above in your browser using DataLab