Non-Linear Dimensionality Reduction Visualization Tool
Overview
A 'shiny' application for visualizing high-dimensional data using non-linear dimensionality reduction (NLDR) techniques such as t-SNE and UMAP. It provides an interactive platform to explore high-dimensional datasets, diagnose the quality of the embeddings using the 'quollr' package, and compare different NLDR methods.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 6
- Examples that run
- 100%2 run in a plain check (1 of them under a condition)
- Exported functions with examples
- 25%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 33%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 81
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Issues over time
8 development-tooling and community-health practices detected across 5 families in the upstream repository
Checks run against github.com/divendra2006/polarisr on 2026-10-11.
GitHub Pages site last deployed 2026-04-17 · The repository has a site deploy workflow
pkgdown site last built 2025-08-28, before release 0.1.4 (2025-09-23)
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Dependencies
Installing polarisR adds 127 packages (70 with compiled code, 106 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.1.4Latest
- 0.1.32025-09-15
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-09-15
- Total releases
- 2 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 861 KB / 2 files
- Download size
- 3.6 MB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("polarisR")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.