PomaDensity: Distribution Plot

Description Usage Arguments Value Author(s) Examples

View source: R/PomaDensity.R

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

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

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.

legend_position

Character indicating the legend position. Options are "none", "top", "bottom", "left", and "right".

Value

A ggplot2 object.

Author(s)

Pol Castellano-Escuder

Examples

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data("st000284")

# samples
PomaDensity(st000284)

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

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

pcastellanoescuder/POMA documentation built on May 14, 2021, 11:07 p.m.