do_PCA: Principal Component Analysis via Singular Value Decomposition

In leandroroser/RNASeqFunctions: Several functions for rna-seq analysis

Description

Principal Component Analysis via Singular Value Decomposition

Usage

do_PCA(x, center = TRUE, scale = FALSE, log_transform = FALSE,
  keep = NULL, robust = FALSE, delta = 1)

Arguments

x	matrix with variables in rows.
center	center data?
log_transform	log transform input data? Default FALSE.
keep	number of axes to keep (default NULL, keep all axes).
robust	use robust estimators of center and/or scale? (median and mad, respectively). Default FALSE.
delta	value to add to counts to avoid zero counts in log computation
level2	scale data?

Value

a list with two elements: pc (the singular vectors) and sv (the singular values)

leandroroser/RNASeqFunctions documentation built on May 17, 2019, 7:31 p.m.