Publication-Ready PCA, t-SNE, and UMAP Plots R package ggpca version 0.1.3 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>. Software Imports: config (>= 0.3.2), golem (>= 0.4.1), shiny (>= 1.8.1.1), rlang, Rtsne, cowplot, dplyr, ggplot2, umap Suggests: knitr, tibble, rmarkdown Yaoxiang Li <liyaoxiang@outlook.com> Comprehensive R Archive Network (CRAN) Yaoxiang Li [cre, aut] GPL-3 2025-02-04 application/tgz https://CRAN.R-project.org/package=ggpca doi:10.32614/CRAN.package.ggpca