# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "scatterbar" in publications use:' type: software license: GPL-3.0-only title: 'scatterbar: Scattered Stacked Bar Chart Plots' version: 0.1.0 doi: 10.32614/CRAN.package.scatterbar abstract: 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) . authors: - family-names: Velazquez given-names: Dee email: dvelazq5@jhu.edu orcid: https://orcid.org/0009-0004-4380-4794 - family-names: Fan given-names: Jean email: jeanfan@jhu.edu orcid: https://orcid.org/0000-0002-0212-5451 repository: https://jefworks-lab.r-universe.dev repository-code: https://github.com/JEFworks-Lab/scatterbar commit: 7ad99d33206cb154430c36d58558fdb653cfd76f url: http://jef.works/scatterbar/ contact: - family-names: Velazquez given-names: Dee email: dvelazq5@jhu.edu orcid: https://orcid.org/0009-0004-4380-4794