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>.
Version: 0.1.3 Imports: config (≥ 0.3.2), golem (≥ 0.4.1), shiny (≥ 1.8.1.1), rlang, Rtsne, cowplot, dplyr, ggplot2, umap Suggests: knitr, tibble, rmarkdown Published: 2025-02-04 DOI: 10.32614/CRAN.package.ggpca Author: Yaoxiang Li [cre, aut] Maintainer: Yaoxiang Li <liyaoxiang at outlook.com> License: GPL-3 NeedsCompilation: no CRAN checks: ggpca results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=ggpca to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4