wrapper.compareNormalizationD_HC: Builds a plot from a dataframe

In prostarproteomics/DAPAR: Tools for the Differential Analysis of Proteins Abundance with R

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_HC(
  objBefore,
  objAfter,
  condsForLegend = NULL,
  ...
)

Arguments

objBefore	A dataframe that contains quantitative data before normalization.
objAfter	A dataframe that contains quantitative data after normalization.
condsForLegend	A vector of the conditions (one condition per sample).
...	arguments for palette

Value

A plot

Author(s)

Samuel Wieczorek

Examples

data(Exp1_R25_pept, package='DAPARdata')
obj <- Exp1_R25_pept
conds <- Biobase::pData(obj)[, "Condition"]
objAfter <- wrapper.normalizeD(
obj = obj, method = "QuantileCentering",
conds = conds, type = "within conditions"
)
wrapper.compareNormalizationD_HC(obj, objAfter, conds,
pal = ExtendPalette(2))

prostarproteomics/DAPAR documentation built on Nov. 26, 2024, 6:32 p.m.