DimReduction: initial dimensional reduction step based on PCA

In stela2502/BioData: The package allows to annotate a numeric data.table with col and row data

Description

Create the initial dimension reduction dataset (PCA n =100) based on either

irlba::prcomp_irlba (large dataset with more than 1e+6 values) or pcaMethods::bpca (small dataset)

Arguments

x	the BioData object
genes	create the dim red for the genes dimension (rows) default=FALSE
n	how many eigenvectors to collapse to default=100
method	which method ('auto', 'irlba', 'bpca')
force	re-produced the dataset even if it already exists default=FALSE
...	additional options for the pca method(s)

Value

the name of the result object in the usedObj list.

stela2502/BioData documentation built on Feb. 23, 2022, 5:47 a.m.