README.md

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The cardinalR package provides a collection of functions to generate a large variety of structures in high dimensions.

Installation

You can install the released version of cardinalR from CRAN with:

install.packages("cardinalR") 

The development version from GitHub with:

# install.packages("pak")
pak::pak("JayaniLakshika/cardinalR")

Example

library(cardinalR)
head(mobiusgau, 5)
#> # A tibble: 5 × 4
#>        x1       x2       x3      x4
#>     <dbl>    <dbl>    <dbl>   <dbl>
#> 1  0.517  -0.579   -0.00951 -0.0401
#> 2  0.0142 -0.00841  0.0147   0.0579
#> 3 -0.402   0.506   -0.196   -0.0325
#> 4 -0.218  -0.684    0.0347   0.0497
#> 5  0.225   0.699    0.00575  0.0251

To view the data in high-dimensional space

langevitour(mobiusgau)

Following shows three 2-D projections from the 4-D mobiusgau data.

Mobius Gaussian data projection 1 Mobius Gaussian data projection 2 Mobius Gaussian data projection 3

You can find the high-dimensional view in here.

tSNE (t-distributed Stochastic Neighbor Embedding) and UMAP (Uniform Manifold Approximation and Projection) representations of mobiusgau are shown below. Figures a–c illustrate the t-SNE projections and figures d–f present the corresponding UMAP projections.

tSNE and UMAP layouts with different hyperparameter choices.

About the name

collection of various high-dimensional data structures in R

Copyright

This package is licensed under the MIT license.



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cardinalR documentation built on Dec. 15, 2025, 5:07 p.m.