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C-based conversion of large scatterplot data to rasters plus other operations such as data blurring or data alpha blending. Speeds up plotting of data with millions of points.
Version: | 1.2 |
Imports: | ggplot2, scales, grid, grDevices, graphics |
Suggests: | covr, knitr, rmarkdown, testthat |
Published: | 2023-06-12 |
DOI: | 10.32614/CRAN.package.scattermore |
Author: | Tereza Kulichova [aut], Mirek Kratochvil [aut, cre] |
Maintainer: | Mirek Kratochvil <exa.exa at gmail.com> |
License: | GPL (≥ 3) |
NeedsCompilation: | yes |
CRAN checks: | scattermore results |
Reference manual: | scattermore.pdf |
Vignettes: |
Low-level scattermore API |
Package source: | scattermore_1.2.tar.gz |
Windows binaries: | r-devel: scattermore_1.2.zip, r-release: scattermore_1.2.zip, r-oldrel: scattermore_1.2.zip |
macOS binaries: | r-release (arm64): scattermore_1.2.tgz, r-oldrel (arm64): scattermore_1.2.tgz, r-release (x86_64): scattermore_1.2.tgz, r-oldrel (x86_64): scattermore_1.2.tgz |
Old sources: | scattermore archive |
Reverse imports: | AcceptReject, ASRgenomics, cellpypes, Coxmos, dearseq, dreamlet, ggsc, PhyloProfile, scCustomize, Seurat, SpatialOmicsOverlay, tricycle |
Reverse suggests: | FlowSOM, MerfishData, plotthis, rliger, scater, scHOT, SCpubr, tidytof, Voyager |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.