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>.
| 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 |
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