three_grid: Generate Three Grids with Noise
In cardinalR: Collection of Data Structures
three_grid R Documentation
Generate Three Grids with Noise
Description
This function generates three grid datasets with noise dimensions.
Usage
three_grid(n_value, num_noise, min_n, max_n)
Arguments
n_value
The number of grid points along the x and y axes for each grid.
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 list containing three grid datasets with added noise and the sample
size of each dataset.
Examples
set.seed(20240412)
three_grids <- three_grid(
n_value = 19, 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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| three_grid | R Documentation |
Generate Three Grids with Noise
Description
This function generates three grid datasets with noise dimensions.
Usage
three_grid(n_value, num_noise, min_n, max_n)
Arguments
n_value |
The number of grid points along the x and y axes for each grid. |
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 list containing three grid datasets with added noise and the sample size of each dataset.
Examples
set.seed(20240412)
three_grids <- three_grid(
n_value = 19, 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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