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cardinalR

The cardinalR package provides functionality for generating simulation high-dimensional datasets for use in various Nonlinear dimension reduction techniques.

Installation

You can install the development version of cardinalR from GitHub with:

# install.packages("devtools")
devtools::install_github("JayaniLakshika/cardinalR")

Example

library(cardinalR)
head(mobius_clust_data, 5)
#> # A tibble: 5 × 5
#>       x1    x2     x3       x4       x5
#>    <dbl> <dbl>  <dbl>    <dbl>    <dbl>
#> 1 -1.02   3.57 -0.373  0.00687 -0.0139 
#> 2  0.793 -3.56  0.620 -0.0261  -0.0457 
#> 3 -1.91  -3.91 -0.533 -0.0232  -0.0122 
#> 4 -2.79   2.94 -0.364  0.0415   0.0214 
#> 5 -1.70  -3.59  0.277 -0.00686  0.00410

You can find the high-dimensional view in here.

tSNE (t-distributed Stochastic Neighbor Embedding) and UMAP (Uniform Manifold Approximation and Projection) representations of mobius_clust_data are shown below.

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.