PomaDensity: Distribution Plot

In POMA: User-friendly Workflow for Pre-processing and Statistical Analysis of Mass Spectrometry Data

Description

PomaDensity() generates a density plot of not normalized and normalized MS data. This plot can help in the comparison between pre and post normalized data and in the "validation" of the normalization process.

Usage

PomaDensity(data, group = "samples", feature_name = NULL)

Arguments

data	A MSnSet object. First pData column must be the subject group/type.
group	Groupping factor for the plot. Options are "samples" and "features". Option "samples" (default) will create a density plot for each group and option "features" will create a density plot of each variable.
feature_name	A vector with the name/s of feature/s to plot. If it's NULL (default) a density plot of all variables will be created.

Value

A ggplot2 object.

Author(s)

Pol Castellano-Escuder

Examples

data("st000284")

# samples
PomaDensity(st000284)

# features
PomaDensity(st000284, group = "features")

# concrete features
PomaDensity(st000284, group = "features", 
            feature_name = c("ornithine", "orotate"))

POMA documentation built on Nov. 8, 2020, 6:26 p.m.