federateComDim: Federated ComDim

In vanduttran/dsMOdual: Server Side Functions on XX' Sum of Squares and Cross Products Matrices

Federated ComDim

Description

Function for ComDim federated analysis on the virtual cohort combining multiple cohorts: finding common dimensions in multiblock data.

Usage

federateComDim(loginFD,
                      logins,
                      func,
                      symbol,
                      ncomp = 2,
                      scale = FALSE,
                      scale.block = TRUE,
                      threshold = 1e-8,
                      chunk = 500L,
                      mc.cores = 1,
                      width.cutoff = 500L
                      )

Arguments

loginFD	Login information of the FD server
logins	Login information of data repositories
func	Encoded definition of a function for preparation of raw data matrices. Two arguments are required: conns (list of Opal connections), symbol (name of the R symbol) (see datashield.assign).
symbol	Encoded vector of names of the R symbols to assign in the DataSHIELD R session on each server in logins. The assigned R variables will be used as the input raw data. Other assigned R variables in func are ignored.
ncomp	Number of common dimensions
scale	A logical value indicating if variables are scaled to unit variance. Default, FALSE. See MBAnalysis::ComDim.
scale.block	A logical value indicating if each block of variables is divided by the square root of its inertia. Default, TRUE. See MBAnalysis::ComDim.
threshold	if the difference of fit<threshold then break the iterative loop (default 1e-8).
chunk	Size of chunks into what the resulting matrix is partitioned. Default, 500L.
mc.cores	Number of cores for parallel computing. Default, 1.
TOL	Tolerance of 0. Default, .Machine$double.eps.
width.cutoff	Default, 500L. See deparse1.

Value

A ComDim object. See MBAnalysis::ComDim.

vanduttran/dsMOdual documentation built on Jan. 19, 2025, 6:36 a.m.