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ggpca (version 0.1.3)

Publication-Ready PCA, t-SNE, and UMAP Plots

Description

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) .

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Version

Install

install.packages('ggpca')

Monthly Downloads

187

Version

0.1.3

License

GPL-3

Maintainer

Yaoxiang Li

Last Published

February 4th, 2025

Functions in ggpca (0.1.3)

ggpca

Create publication-ready PCA, t-SNE, or UMAP plots
process_missing_value

Process Missing Values in a Data Frame
run_app

Run the Shiny Application