pca_analysis_dataset: PCA analysis (classical)

In specmine: Metabolomics and Spectral Data Analysis and Mining

Description

Performs a classical PCA analysis over the dataset.

Usage

pca_analysis_dataset(dataset, scale = TRUE, center = TRUE, 
write.file = FALSE, file.out = "pca", ...)

Arguments

dataset	list representing the dataset from a metabolomics experiment.
scale	boolean value indicating if the variables are going to be scaled or not.
center	booleam value indicating if the variables are going to be centered or not.
write.file	boolean value that indicates if the results from PCA analysis are going to be written on a file.
file.out	name of the file that will store the results.
...	additional parameters to ggplot function.

Value

object of class 'prcomp' with the results from the PCA analysis.

Examples

  ## Example of performing a classical PCA analysis
  library(specmine.datasets)
  data(cachexia)
  pca.results = pca_analysis_dataset(cachexia)

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