NonLinearCategorization: Generate Nonlinear Categorical Data (Univariate)
In CCI: Computational Test for Conditional Independence
NonLinearCategorization R Documentation
Generate Nonlinear Categorical Data (Univariate)
Description
Generates a dataset with a single Z influencing categorical X and Y.
Usage
NonLinearCategorization(N, d = 0)
Arguments
N
Integer. Sample size.
d
Numeric. Dependency strength. Default is 0.
Value
A data frame with columns Z, X, and Y.
CCI documentation built on Aug. 29, 2025, 5:17 p.m.
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| NonLinearCategorization | R Documentation |
Generate Nonlinear Categorical Data (Univariate)
Description
Generates a dataset with a single Z influencing categorical X and Y.
Usage
NonLinearCategorization(N, d = 0)
Arguments
N |
Integer. Sample size. |
d |
Numeric. Dependency strength. Default is 0. |
Value
A data frame with columns Z, X, and Y.
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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