Package: scatterbar 0.1.0
Dee Velazquez
scatterbar: Scattered Stacked Bar Chart Plots
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>.
Authors:
scatterbar_0.1.0.tar.gz
scatterbar_0.1.0.zip(r-4.7)scatterbar_0.1.0.zip(r-4.6)scatterbar_0.1.0.zip(r-4.5)
scatterbar_0.1.0.tgz(r-4.6-any)scatterbar_0.1.0.tgz(r-4.5-any)
scatterbar_0.1.0.tar.gz(r-4.7-any)scatterbar_0.1.0.tar.gz(r-4.6-any)
scatterbar_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
scatterbar/json (API)
NEWS
| # Install 'scatterbar' in R: |
| install.packages('scatterbar', repos = c('https://jefworks-lab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jefworks-lab/scatterbar/issues
Pkgdown/docs site:https://jef.works
- adult_mouse_brain_ffpe - Deconvolved cell-type proportions from STdeconvolve for a Visium data from the adult mouse brain along with the positions of their respective spots
- mOB - Deconvolved cell-type proportions from STdeconvolve for a Spatial Transcriptomic dataset of the mouse olfactory bulb along with the positions of their respective spots
data-visualizationspatial-analysisspatial-data-analysisspatial-transcriptomics
Last updated from:709f027405. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 170 | ||
| source / vignettes | OK | 288 | ||
| linux-release-x86_64 | OK | 176 | ||
| macos-release-arm64 | OK | 125 | ||
| macos-oldrel-arm64 | OK | 135 | ||
| windows-devel | OK | 120 | ||
| windows-release | OK | 120 | ||
| windows-oldrel | OK | 119 | ||
| wasm-release | OK | 118 |
Exports:scatterbar
Dependencies:clicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Customizing scatterbar
Rendered fromcustomizing_scatterbar.Rmdusingknitr::rmarkdownon May 08 2026.Last update: 2024-11-26
Started: 2024-06-27
Flipping scatterbar oreintations and positions
Rendered fromflipping-scatterbar-oreintations.Rmdusingknitr::rmarkdownon May 08 2026.Last update: 2024-11-26
Started: 2024-11-13
Getting started with scatterbars
Rendered fromgetting-started-with-scatterbars.Rmdusingknitr::rmarkdownon May 08 2026.Last update: 2024-11-26
Started: 2024-06-13
Using scatterbar with a SpatialExperiment object
Rendered fromusing-scatterbar-with-spatial-experiment.Rmdusingknitr::rmarkdownon May 08 2026.Last update: 2024-11-26
Started: 2024-10-16
Using scatterbar with Visium data
Rendered fromusing-scatterbar-with-visium.Rmdusingknitr::rmarkdownon May 08 2026.Last update: 2024-11-26
Started: 2024-10-16
Visualizing multiple datasets with scatterbar
Rendered fromvisualizing-multiple-datasets.Rmdusingknitr::rmarkdownon May 08 2026.Last update: 2024-11-26
Started: 2024-10-16
