Provides a powerful and flexible tool for visualizing proportional data across spatially resolved contexts. By combining the concepts of scatter plots and stacked bar charts, 'scatterbar' allows users to create scattered bar chart plots, which effectively display the proportions of different categories at each (x, y) location. This visualization is particularly useful for applications where understanding the distribution of categories across spatial coordinates is essential. This package features automatic determination of optimal scaling factors based on data, customizable scaling and padding options for both x and y axes, flexibility to specify custom colors for each category, options to customize the legend title, and integration with 'ggplot2' for robust and high-quality visualizations. For more details, see Velazquez et al. (2024) <doi:10.1101/2024.08.14.606810>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | magrittr, dplyr, tidyr, ggplot2 |
| Suggests: | knitr, rmarkdown, patchwork |
| Published: | 2024-11-25 |
| DOI: | 10.32614/CRAN.package.scatterbar |
| Author: | Dee Velazquez |
| Maintainer: | Dee Velazquez <dvelazq5 at jhu.edu> |
| BugReports: | https://github.com/JEFworks-Lab/scatterbar/issues |
| License: | GPL-3 |
| URL: | https://github.com/JEFworks-Lab/scatterbar, http://jef.works/scatterbar/ |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | scatterbar results |
| Package source: | scatterbar_0.1.0.tar.gz |
| Windows binaries: | r-devel: scatterbar_0.1.0.zip, r-release: scatterbar_0.1.0.zip, r-oldrel: scatterbar_0.1.0.zip |
| macOS binaries: | r-release (arm64): scatterbar_0.1.0.tgz, r-oldrel (arm64): scatterbar_0.1.0.tgz, r-release (x86_64): scatterbar_0.1.0.tgz, r-oldrel (x86_64): scatterbar_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=scatterbar to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.