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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: | 0.1.2 |
| 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: | 2024-10-28 |
| 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 |
| Reference manual: | ggpca.pdf |
| Vignettes: |
Using ggpca for Publication-Ready Dimensionality Reduction Plots (source, R code) |
| Package source: | ggpca_0.1.2.tar.gz |
| Windows binaries: | r-devel: ggpca_0.1.2.zip, r-release: ggpca_0.1.2.zip, r-oldrel: ggpca_0.1.2.zip |
| macOS binaries: | r-release (arm64): ggpca_0.1.2.tgz, r-oldrel (arm64): ggpca_0.1.2.tgz, r-release (x86_64): ggpca_0.1.2.tgz, r-oldrel (x86_64): ggpca_0.1.2.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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