wrapper.pca: Compute the PCA

In prostarproteomics/DAPAR: Tools for the Differential Analysis of Proteins Abundance with R

Compute the PCA

Description

Compute the PCA

Usage

wrapper.pca(obj, var.scaling = TRUE, ncp = NULL)

Arguments

obj	xxx
var.scaling	The dimensions to plot
ncp	xxxx

Value

A xxxxxx

Author(s)

Samuel Wieczorek

Examples

data(Exp1_R25_prot, package="DAPARdata")
obj <- Exp1_R25_prot[seq_len(100)]
level <- 'protein'
metacell.mask <- match.metacell(GetMetacell(obj), c("Missing POV", "Missing MEC"), level)
indices <- GetIndices_WholeMatrix(metacell.mask, op = ">=", th = 1)
obj <- MetaCellFiltering(obj, indices, cmd = "delete")
res.pca <- wrapper.pca(obj$new)

prostarproteomics/DAPAR documentation built on March 28, 2024, 4:44 a.m.