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:Dee Velazquez [aut, cre], Jean Fan [aut, rev]

scatterbar_0.1.0.tar.gz
scatterbar_0.1.0.zip(r-4.7-any)scatterbar_0.1.0.zip(r-4.6-any)scatterbar_0.1.0.zip(r-4.5-any)
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✨
DESCRIPTION |NEWS
card.svg |card.png
scatterbar/json (API)

# 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

Datasets:
  • 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

On CRAN:

Conda:

data-visualizationspatial-analysisspatial-data-analysisspatial-transcriptomics

6.18 score 13 stars 39 scripts 244 downloads 1 exports 29 dependencies

Last updated from:709f027405. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK147
source / vignettesOK320
linux-releaseOK152
macos-releaseOK110
macos-oldrelOK124
windows-develOK126
windows-releaseOK112
windows-oldrelOK105
wasm-releaseOK137

Exports:scatterbar

Dependencies:clicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Customizing scatterbar
Rendered fromcustomizing_scatterbar.Rmdusingknitr::rmarkdown

Last update: 2024-11-26
Started: 2024-06-27

Flipping scatterbar oreintations and positions
Rendered fromflipping-scatterbar-oreintations.Rmdusingknitr::rmarkdown

Last update: 2024-11-26
Started: 2024-11-13

Getting started with scatterbars
Rendered fromgetting-started-with-scatterbars.Rmdusingknitr::rmarkdown

Last update: 2024-11-26
Started: 2024-06-13

Using scatterbar with a SpatialExperiment object
Load libraries | Rasterize Cell-Type Counts | Calculate Cell-Type Proportions | Retrieve Pixel Coordinates | Filter Pixels with More than One Cell | Visualize Cell-Type Proportions Using scatterbar
Rendered fromusing-scatterbar-with-spatial-experiment.Rmdusingknitr::rmarkdown

Last update: 2024-11-26
Started: 2024-10-16

Using scatterbar with Visium data
Rendered fromusing-scatterbar-with-visium.Rmdusingknitr::rmarkdown

Last update: 2024-11-26
Started: 2024-10-16

Visualizing multiple datasets with scatterbar
Rendered fromvisualizing-multiple-datasets.Rmdusingknitr::rmarkdown

Last update: 2024-11-26
Started: 2024-10-16