ggpca: Publication-Ready PCA, t-SNE, and UMAP Plots

Provides tools for creating publication-ready dimensionality reduction plots, including Principal Component Analysis (PCA), t-Distributed Stochastic Neighbor Embedding (t-SNE), and Uniform Manifold Approximation and Projection (UMAP). This package helps visualize high-dimensional data with options for custom labels, density plots, and faceting, using the 'ggplot2' framework Wickham (2016) <doi:10.1007/978-3-319-24277-4>.

Package details

AuthorYaoxiang Li [cre, aut]
MaintainerYaoxiang Li <liyaoxiang@outlook.com>
LicenseGPL-3
Version0.1.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ggpca")

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ggpca documentation built on April 3, 2025, 10:28 p.m.