boxplot_vars_factor: Boxplot of variables with metadata's variable factors

In specmine: Metabolomics and Spectral Data Analysis and Mining

Description

Boxplot of variables with metadata's variable factors from the dataset.

Usage

boxplot_vars_factor(dataset, meta.var, variables = NULL, 
samples = NULL, horizontal = FALSE, nchar.label = 10, col = NULL, 
vec.par = NULL, cex.axis = 0.8, ylabs = NULL, ...)

Arguments

dataset	list representing the dataset from a metabolomics experiment.
meta.var	metadata's variable.
variables	vector with the variables names or a NULL value indicating all variables.
samples	vector with the samples names or a NULL value indicating all samples.
horizontal	boolean value indicating if the boxplots should be horizontal.
nchar.label	number of characters to display the variables' names.
col	string that represents the color of the bodies of the boxplots.
vec.par	vector with the disposition of the boxplots (rows, columns).
cex.axis	numeric value that indicates the amount by which the axis is magnified relative to the default.
ylabs	y-axis labels.
...	additional parameters of boxplot function.

Examples

  ## Example of showing the boxplot factors of a few variables
  library(specmine.datasets)
  data(cachexia)
  boxplot_vars_factor(cachexia, "Muscle.loss", variables = c("Creatine","Serine",
  "Lactate"))

specmine documentation built on Sept. 21, 2021, 5:06 p.m.