generate_multi_moclust: Generate simulated data

In agapow/subtypr: Robust and Validated Patient Subtyping for Precision Medicine

Description

Generate simulated data as in 10.1021/acs.jproteome.5b00824

Usage

generate_multi_moclust(data_support, sd_signal = 0.5, sparse = FALSE,
  percent_sparsity)

Arguments

data_support	a list of features matrices
sd_signal	the standard deviation of the signal in each cluster, see 10.1021/acs.jproteome.5b00824, try 1, 0.5 or 0.2 for good to bad signal to noise ratio
sparse	logical, to create sparsity in singular vector of Xsim, see 10.1021/acs.jproteome.5b00824
percent_sparsity	a vector (value for each data type) indicating the percentage of sparsity for the singular vector V of Xsim. See 10.1021/acs.jproteome.5b00824

Value

a list of simulated structured data, the corresponding partition (partition_tot) and the partition per layer (partitions).

agapow/subtypr documentation built on May 5, 2019, 1:33 a.m.