four_branch: Generate Four-Branching Data with Noise
In cardinalR: Collection of Data Structures
four_branch R Documentation
Generate Four-Branching Data with Noise
Description
This function generates a dataset representing four branches with added noise.
Usage
four_branch(n, num_noise, min_n, max_n)
Arguments
n
The total number of samples to generate.
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 four-branching data with added noise.
Examples
set.seed(20240412)
four_branching_data <- four_branch(
n = 400, 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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| four_branch | R Documentation |
Generate Four-Branching Data with Noise
Description
This function generates a dataset representing four branches with added noise.
Usage
four_branch(n, num_noise, min_n, max_n)
Arguments
n |
The total number of samples to generate. |
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 four-branching data with added noise.
Examples
set.seed(20240412)
four_branching_data <- four_branch(
n = 400, 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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