pca-methods: Creation of an ExposomePCA from an ExposomeSet.

In rexposome: Exposome exploration and outcome data analysis

Description

Method to calculate a PCA based on the exposures of an ExposomeSet. Only numerical-exposures (non categorical) will be computed. The function resurns an ExposomePCA object. This PCA is performed by using FactoMineR package.

Usage

pca(object, npc = 10, pca = FALSE, ...)

Arguments

object	ExposomeSet which exposures will be used for the PCA
npc	(by default 10) number of dimensions kept in the results
pca	(default FALSE) Set to TRUE to Perform PCA (only numerical variables) or FALSE to perform FAMD (numerical and categorical)
...	Arguments to be passed to imputeFAMD

Value

An ExposomePCA with the values of the PCA.

See Also

plotPCA to plot the PCA values of an ExposomePCA, clustering to see how the exposures can cluster samples, correlation to compute the correlation between exposures

Examples

data("exposome")
epca <- pca(expo[12:20, ])

rexposome documentation built on March 13, 2021, 2:01 a.m.