Generate Doublets with Different Variance Clusters and Noise

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

Usage

one_doublet_diff_var_clust(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 variance clusters and noise with custom parameters
set.seed(20240412)
data <- one_doublet_diff_var_clust(
  n = 260, num_noise = 2,
  min_n = -0.05, max_n = 0.05
)