Generate Doublets with Different Pattern Clusters and Noise

This function generates data with one set of doublets (pairs of clusters) having different patterns, along with added background noise.

Usage

one_doublet_diff_patterns(n, num_noise, min_n, max_n)

Arguments

n

The total number of data points to be generated.

num_noise

The number of additional noise dimensions to be generated.

min_n

The minimum value for the noise added to the data points.

max_n

The maximum value for the noise added to the data points.

Value

A matrix containing the generated data, with each row representing a data point.

Examples

# Generate doublets with different pattern clusters and noise with custom parameters
set.seed(20240412)
data <- one_doublet_diff_patterns(
  n = 280, num_noise = 2, min_n = -0.05,
  max_n = 0.05
)