get_joint_rank: Joint Rank

In RaJIVE: Robust Angle Based Joint and Individual Variation Explained

Description

Gets the joint rank from the Rajive decomposition

Usage

get_joint_rank(ajive_output)

Arguments

ajive_output

List. The decomposition from Rajive

Value

The joint rank

Examples

 

n <- 10
pks <- c(20, 10)
Y <- ajive.data.sim(K =2, rankJ = 2, rankA = c(7, 4), n = n,
                 pks = pks, dist.type = 1)
initial_signal_ranks <-  c(7, 4)
data.ajive <- list((Y$sim_data[[1]]), (Y$sim_data[[2]]))
ajive.results.robust <- Rajive(data.ajive, initial_signal_ranks)
get_joint_rank(ajive.results.robust)

RaJIVE documentation built on Feb. 4, 2021, 5:05 p.m.