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.

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