dot-federateCov: Federated covariance matrix

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

Federated covariance matrix

Description

Compute the covariance matrix for the virtual cohort

Usage

.federateCov(
  loginFD,
  logins,
  funcPreProc,
  querytables,
  querysubset = NULL,
  pair = FALSE,
  chunk = 500L,
  mc.cores = 1,
  connRes = FALSE
)

Arguments

loginFD	Login information of the FD server (one of the servers containing cohort data)
logins	Login information of other servers containing cohort data
funcPreProc	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).
querytables	Name (or a vector of two names) of the R symbol(s) to assign in the Datashield R session on each server in logins. The assigned R variable(s) will be used as the input raw data to compute covariance matrix. Other assigned R variables in func are ignored.
querysubset	A list of index vectors indicating the subsets of individuals to consider. Default, NULL, all individuals are considered.
pair	A logical value indicating pairwise cross products are computed. Default, FALSE.
chunk	Size of chunks into what the resulting matrix is partitioned. Default, 500L.
mc.cores	Number of cores for parallel computing. Default, 1.
connRes	A logical value indicating if the connection to logins is returned. Default, no.

Value

Covariance matrix of the virtual cohort

vanduttran/dsSSCP documentation built on Jan. 17, 2025, 1:47 a.m.