processOpt


  A list of matrices, rows are observations and columns are variables



  A logical variable indicates whether columns should be centered


center


  A logical variable indicates whether columns should be scaled


scale


  A charater string could be one of c("lambda1", "inertia", "uniform") to indicate
  how the different matrices should be normalized. If "lambda1", the matrix is 
  divided by its the first singular value, if "inertia", the matrix is divided by
  its total inertia (sum of square), if "uniform", none of them would be done.


option


An internal function called by <code><a rd-options="" href="/link/mbpca?package=mogsa&version=1.6.4" data-mini-rdoc="mogsa::mbpca">mbpca</a></code>.


This package provide a method for doing gene set analysis
based on multiple omics data.

Chen Meng

mogsa

Multiple omics data integrative clustering and gene set analysis

processOpt function

A list of matrices, rows are observations and columns are variables

A logical variable indicates whether columns should be centered

A logical variable indicates whether columns should be scaled

A charater string could be one of c("lambda1", "inertia", "uniform") to indicate
  how the different matrices should be normalized. If "lambda1", the matrix is 
  divided by its the first singular value, if "inertia", the matrix is divided by
  its total inertia (sum of square), if "uniform", none of them would be done.

An internal function called by <code><a href="mbpca" rd-options="">mbpca</a></code>.

processOpt: preprocessing of input data in `mbpca`.

Description

Usage

Arguments

Value