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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.3 |
rolling source/ R- | ggpca_0.1.3.tar.gz |
528.7 KiB |
0.1.3 |
rolling linux/jammy R-4.5 | ggpca_0.1.3.tar.gz |
559.0 KiB |
0.1.3 |
rolling linux/noble R-4.5 | ggpca_0.1.3.tar.gz |
558.9 KiB |
0.1.3 |
latest source/ R- | ggpca_0.1.3.tar.gz |
528.7 KiB |
0.1.3 |
latest linux/jammy R-4.5 | ggpca_0.1.3.tar.gz |
559.0 KiB |
0.1.3 |
latest linux/noble R-4.5 | ggpca_0.1.3.tar.gz |
558.9 KiB |
0.1.3 |
2026-04-23 source/ R- | ggpca_0.1.3.tar.gz |
528.7 KiB |
0.1.3 |
2026-04-09 windows/windows R-4.5 | ggpca_0.1.3.zip |
559.3 KiB |
0.1.3 |
2025-04-20 source/ R- | ggpca_0.1.3.tar.gz |
528.7 KiB |