generate_multi_unstructured: Generate a list of synthetic data matrices for validation

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

Description

Generate a list of unstructured data matrices of the desired dimensions.

Usage

generate_multi_unstructured(type = c("gaussian", "uniform"), n_samples,
  n_features, n_layers)

Arguments

type	The type of synthetic data generated, "gaussian" or "uniform".
n_samples	The number of samples.
n_features	integer vector. The number of features per layer.
n_layers	The number of layers (features matrix) to be generated.

Details

Two types of distribution are available:

• "gaussian": generates a matrix with each patient having features with the same gaussian distribution.

• "uniform" generates a matrix with each patient having features with the same uniform distribution.

Value

a list of unstructured matrix of the type selected in type (gaussian by default).

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