specmine (version 3.1.6)

pca_robust: PCA analysis (robust)

Description

Performs a robust PCA analysis.

Usage

pca_robust(dataset, center = "median", scale = "mad", k = 10, 
write.file = FALSE, file.out = "robpca", ...)

Arguments

dataset

list representing the dataset from a metabolomics experiment.

center

indicates how the data is to be centered. Can be a function or a vector with the center values of each column.

scale

indicates how the data is to be rescaled. Can be a function or a vector with the scale value of each column.

k

the desired number of components to compute

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 pass to or from other functions.

Value

Returns an object of class 'princomp' with the PCA results.

Examples

# NOT RUN {
  ## Example of performing a robust PCA analysis
  library(specmine.datasets)
  data(cachexia)
  pca.results = pca_robust(cachexia, center = "mean", scale = "mad", 
		k = 10)
# }