divide_samples: Global Variable

In SUMO: Generating Multi-Omics Datasets for Testing and Benchmarking

Global Variable

Description

A global variable used in multiple functions.

This utility function divides a sequence of sample indices into num segments ensuring that each segment meets a specified minimum size. It optionally extracts a subset of each segment based on predefined selection logic:

• For a single group (num = 1): selects a random contiguous sub-vector comprising between 10% and 55% of the total samples.

• For multiple groups (num > 1): selects a contiguous sub-vector comprising approximately 75% of each segment.

Usage

divide_samples(n_samples, num, min_size)

divide_samples(n_samples, num, min_size)

Arguments

n_samples	Integer. Total number of samples to divide.
num	Integer. Number of desired segments or latent factors.
min_size	Integer. Minimum size (length) allowed for each segment.

Details

This function is primarily used for randomized simulation of sample blocks, useful in bootstrapping, subsampling, or simulating latent factor scores across multi-omics datasets.

Value

A list of integer vectors. Each vector contains a sequence of indices representing a subsample of the corresponding segment.

Examples

divide_samples(n_samples = 100, num = 3, min_size = 10)
divide_samples(n_samples = 50, num = 1, min_size = 5)

SUMO documentation built on June 8, 2025, 12:45 p.m.