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polarisR: Tips, Requirements, and Support

This vignette provides supplementary information for using polarisR, including best practices, technical requirements, and support resources.

library(polarisR)

Tips and Best Practices

Data Quality Considerations:

Ensure sufficient numeric columns for analysis
Handle missing values before upload
Consider data scaling if variables have very different ranges
Minimum 50+ observations recommended for stable NLDR results

Technical Requirements

R Version: R >= 4.1.0
quollr Version: 0.3.7
Key Dependencies: shiny, plotly, DT, quollr, Rtsne, umap
Browser: Modern web browser with JavaScript enabled
Memory: Sufficient RAM for your dataset size (recommend 4GB+ for large datasets)

Support

For questions, bug reports, or feature requests, please visit:

GitHub Repository: https://github.com/Divendra2006/polarisR
Issues: https://github.com/Divendra2006/polarisR/issues

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.