CRAN: Package circlize

circlize: Circular Visualization

Circular layout is an efficient way for the visualization of huge amounts of information. Here this package provides an implementation of circular layout generation in R as well as an enhancement of available software. The flexibility of the package is based on the usage of low-level graphics functions such that self-defined high-level graphics can be easily implemented by users for specific purposes. Together with the seamless connection between the powerful computational and visual environment in R, it gives users more convenience and freedom to design figures for better understanding complex patterns behind multiple dimensional data. The package is described in Gu et al. 2014 <doi:10.1093/bioinformatics/btu393>.

Version: 0.4.16

Depends: R (≥ 4.0.0), graphics

Imports: GlobalOptions (≥ 0.1.2), shape, grDevices, utils, stats, colorspace, methods, grid

Suggests: knitr, dendextend (≥ 1.0.1), ComplexHeatmap (≥ 2.0.0), gridBase, png, markdown, bezier, covr, rmarkdown

Published: 2024年02月20日

DOI: 10.32614/CRAN.package.circlize

Author: Zuguang Gu ORCID iD [aut, cre]

Maintainer: Zuguang Gu <z.gu at dkfz.de>

License: MIT + file LICENSE

URL: https://github.com/jokergoo/circlize, https://jokergoo.github.io/circlize_book/book/

NeedsCompilation: no

Citation: circlize citation info

Materials: NEWS

CRAN checks: circlize results [issues need fixing before 2025年12月17日]

Documentation:

Reference manual: circlize.html , circlize.pdf

Vignettes: circlize vignette (source)

Downloads:

Package source: circlize_0.4.16.tar.gz

Windows binaries: r-devel: circlize_0.4.16.zip, r-release: circlize_0.4.16.zip, r-oldrel: circlize_0.4.16.zip

macOS binaries: r-release (arm64): circlize_0.4.16.tgz, r-oldrel (arm64): circlize_0.4.16.tgz, r-release (x86_64): circlize_0.4.16.tgz, r-oldrel (x86_64): circlize_0.4.16.tgz

Old sources: circlize archive

Reverse dependencies:

Reverse depends: circlizePlus, countToFPKM, gmoviz, MetCirc, yarrr

Reverse imports: abseqR, acc, AMARETTO, artMS, ASURAT, avidaR, bandle, barbieQ, BeeBDC, bettr, bfw, blacksheepr, BloodGen3Module, BreastSubtypeR, bulkAnalyseR, BulkSignalR, canceR, CATALYST, CCPlotR, celda, cellGeometry, CeTF, chevreulPlot, chevreulProcess, CHRONOS, CINNA, ClustAll, coda4microbiome, cola, ComplexHeatmap, corrViz, COTAN, CTexploreR, cytoKernel, dcanr, DEGreport, DEP, DeSciDe, DEsubs, diemr, diffcyt, dinoR, dominoSignal, ELMER, ELViS, EnrichedHeatmap, epiregulon.extra, ethnobotanyR, FLAMES, GALLO, GAPR, GeDi, GeneTonic, GenomicPlot, gfer, GRaNIE, GRIN2, GSSTDA, gtrellis, hermes, HilbertCurve, hoodscanR, immunarch, InterCellar, iSEE, ITNr, karyotapR, LymphoSeq, MAPFX, markeR, MesKit, migest, missoNet, MitoHEAR, mitology, MKomics, mldr, MOMA, monaLisa, Moonlight2R, MoonlightR, MOSClip, MPAC, multistateQTL, OpenLand, pacviz, pathlinkR, PeacoQC, pgxRpi, PhosR, pipeComp, plotthis, PolySTest, PRONE, recoup, RepeatedHighDim, RepertoiR, rexposome, rGREAT, rKOMICS, RNAseqQC, RPointCloud, RUCova, scafari, scCustomize, scITD, scRNAseqApp, sechm, SEtools, SeuratExplorer, shinyDSP, sigQC, simona, simplifyEnrichment, SingleCellComplexHeatMap, singleCellTK, socialh, SpaCCI, SpaceMarkers, sparrow, spatialLIBD, spiralize, tidyHeatmap, TMSig, TransProR, TRONCO, viscomp, ViSEAGO, visxhclust, wilson, YAPSA

Reverse suggests: bambu, CIARA, CimpleG, ClusterGVis, CNVScope, colorify, Coralysis, dendextend, DEploid.utils, eclust, gap, GenomicSuperSignature, ggpicrust2, grandR, HMP16SData, inferCSN, InteractiveComplexHeatmap, ISAnalytics, LegATo, martini, MetaNet, metasnf, miaViz, MiscMetabar, NanoporeRNASeq, nipalsMCIA, pathwayPCA, pcutils, Platypus, ProteinGymR, rliger, scDblFinder, scLANE, SCpubr, scRepertoire, seewave, sharpshootR, sigminer, svaNUMT, svaRetro, TBSignatureProfiler, TCGAbiolinks, tinyarray

Reverse enhances: jamba

Linking:

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