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Renders vector-based svg images into high-quality custom-size bitmap arrays using 'librsvg2'. The resulting bitmap can be written to e.g. png, jpeg or webp format. In addition, the package can convert images directly to various formats such as pdf or postscript.
Version: | 2.6.1 |
Suggests: | ggplot2, knitr, magick, rmarkdown, spelling, svglite, testthat (≥ 3.0.0), webp, png |
Published: | 2024-09-20 |
DOI: | 10.32614/CRAN.package.rsvg |
Author: | Jeroen Ooms [aut, cre], Salim Brüggemann [ctb] |
Maintainer: | Jeroen Ooms <jeroenooms at gmail.com> |
BugReports: | https://github.com/ropensci/rsvg/issues |
License: | MIT + file LICENSE |
URL: | https://docs.ropensci.org/rsvg/, https://github.com/ropensci/rsvg |
NeedsCompilation: | yes |
SystemRequirements: | librsvg2 |
Language: | en-US |
Materials: | NEWS |
CRAN checks: | rsvg results |
Reference manual: | rsvg.pdf |
Vignettes: |
Rendering SVG with CSS in R (source, R code) |
Package source: | rsvg_2.6.1.tar.gz |
Windows binaries: | r-devel: rsvg_2.6.1.zip, r-release: rsvg_2.6.1.zip, r-oldrel: rsvg_2.6.1.zip |
macOS binaries: | r-release (arm64): rsvg_2.6.1.tgz, r-oldrel (arm64): rsvg_2.6.1.tgz, r-release (x86_64): rsvg_2.6.1.tgz, r-oldrel (x86_64): rsvg_2.6.1.tgz |
Old sources: | rsvg archive |
Reverse depends: | integr |
Reverse imports: | actel, AdhereR, camcorder, ChemmineR, chess, cohorttools, colorfindr, dtrackr, favawesome, grPipe, LearnVizLMM, netSEM, ODT, pikchr, PRISMA2020, PubChemR, rfaRm, RIdeogram, rphylopic, SBGNview, spatialHeatmap, svgtools, tidycharts, vtree, wikiprofiler |
Reverse suggests: | aion, altair, ArchaeoPhases, badgen, behaviorchange, cvms, deeptimedata, DiagrammeR, dimensio, fontawesome, ggfixest, ggimage, ggpath, ggspark, greta, grImport2, gt, isopleuros, kairos, khroma, laminr, lavaanExtra, lavaanPlot, magick, marginaleffects, marquee, MetMashR, mlbplotR, modelsummary, nexus, nflplotR, officer, pcutils, plotly, primer, processmapR, qrcode, Rgff, RGraphics, rolog, slendr, tabula, tinyplot, tinysnapshot, UnalR, vegawidget |
Reverse enhances: | seminr, umx |
Please use the canonical form https://CRAN.R-project.org/package=rsvg to link to this page.
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.