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cardinalR cardinalR package logo

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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

This package is licensed under the MIT license.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.