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, 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

Author(s)

Samuel Wieczorek

Examples

require(DAPARdata)
data(Exp1_R25_pept)
obj <- Exp1_R25_pept[1:1000]
qDataBefore <- Biobase::exprs(obj)
labels <- Biobase::pData(obj)[,"Label"]
qDataAfter <- normalizeD(qDataBefore,labels,"Quantile Centering",
"within conditions")
compareNormalizationD_HC(qDataBefore, qDataAfter, labels)

[Package DAPAR version 1.12.11 Index]