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scatterbar  

Scattered Stacked Bar Chart Plots
View on CRAN: Click here


Download and install scatterbar package within the R console
Install from CRAN:
install.packages("scatterbar")

Install from Github:
library("remotes")
install_github("cran/scatterbar")

Install by package version:
library("remotes")
install_version("scatterbar", "0.1.0")



Attach the package and use:
library("scatterbar")
Maintained by
Dee Velazquez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-11-25
Latest Update: 2024-11-25
Description:
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>.
How to cite:
Dee Velazquez (2024). scatterbar: Scattered Stacked Bar Chart Plots. R package version 0.1.0, https://cran.r-project.org/web/packages/scatterbar. Accessed 04 Oct. 2026.
Previous versions and publish date:
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Complete documentation for scatterbar
Functions, R codes and Examples using the scatterbar R package
Full scatterbar package functions and examples
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