rpca: RPCA

In oliviermfmartin/HelpingHand: A helping hand

Description

Rotated principal component analysis

Usage

rpca(
  x,
  k,
  scale = FALSE,
  sign_correction = TRUE,
  rotation = c("none", "varimax", "oblimin"),
  normalize = TRUE,
  maxit = 1000,
  eps = 1e-05,
  return_data = FALSE
)

Arguments

x	numeric matrix; data with variables as columns and samples as rows.
k	integer; number of principal components.
scale	logical; should the data be scaled?
sign_correction	logical; should signCorrectionPCA be called?
normalize	parameter passed to optimization routine (GPForth or GPFoblq).
maxit	parameter passed to optimization routine (GPForth or GPFoblq).
eps	parameter passed to optimization routine (GPForth or GPFoblq).
return_data	logical; should data be returned?

Value

A list with scores and loadings.

oliviermfmartin/HelpingHand documentation built on Oct. 10, 2020, 5:59 a.m.