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This function generates two S-curve datasets with added noise dimensions.

Usage

two_scurves(n, num_noise, min_n, max_n)

Arguments

n

The total number of samples to generate (should be divisible by 2).

num_noise

The number of additional noise dimensions to add to the data.

min_n

The minimum value for the noise dimensions.

max_n

The maximum value for the noise dimensions.

Value

A matrix containing the combined S-curve datasets with added noise.

Examples

set.seed(20240412)
two_s_curve_data <- two_scurves(
  n = 200, num_noise = 2,
  min_n = -0.05, max_n = 0.05
)