torus_3d: Generate a torus-shaped dataset with optional noise.
In cardinalR: Collection of Data Structures
torus_3d R Documentation
Generate a torus-shaped dataset with optional noise.
Description
This function generates a torus-shaped dataset along with optional noise.
Usage
torus_3d(n, num_noise, min_n, max_n)
Arguments
n
Total number of data points to generate.
num_noise
Number of additional noise dimensions to add to the data.
min_n
Minimum value for the noise added to the data.
max_n
Maximum value for the noise added to the data.
Value
A matrix containing the generated torus-shaped data points with or
without added noise.
Examples
set.seed(20240412)
torus_3d(n = 100, num_noise = 2, min_n = -0.05, max_n = 0.05)
cardinalR documentation built on May 29, 2024, 4:37 a.m.
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| torus_3d | R Documentation |
Generate a torus-shaped dataset with optional noise.
Description
This function generates a torus-shaped dataset along with optional noise.
Usage
torus_3d(n, num_noise, min_n, max_n)
Arguments
n |
Total number of data points to generate. |
num_noise |
Number of additional noise dimensions to add to the data. |
min_n |
Minimum value for the noise added to the data. |
max_n |
Maximum value for the noise added to the data. |
Value
A matrix containing the generated torus-shaped data points with or without added noise.
Examples
set.seed(20240412)
torus_3d(n = 100, num_noise = 2, min_n = -0.05, max_n = 0.05)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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