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: | 0.4.10 |
Depends: | R (≥ 3.0.0), 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 |
Published: | 2020-06-15 |
Author: | Zuguang Gu |
Maintainer: | Zuguang Gu <z.gu at dkfz.de> |
License: | MIT + file LICENSE |
URL: | https://github.com/jokergoo/circlize, http://jokergoo.github.io/circlize_book/book/ |
NeedsCompilation: | no |
Citation: | circlize citation info |
Materials: | NEWS |
CRAN checks: | circlize results |
Reference manual: | circlize.pdf |
Vignettes: |
circlize vignette |
Package source: | circlize_0.4.10.tar.gz |
Windows binaries: | r-devel: circlize_0.4.10.zip, r-release: circlize_0.4.10.zip, r-oldrel: circlize_0.4.10.zip |
macOS binaries: | r-release: circlize_0.4.10.tgz, r-oldrel: circlize_0.4.10.tgz |
Old sources: | circlize archive |
Reverse depends: | countToFPKM, gmoviz, MetCirc, RNAsmc, yarrr |
Reverse imports: | abseqR, acc, AMARETTO, armada, artMS, BasketballAnalyzeR, blacksheepr, canceR, capm, CATALYST, CeTF, CHRONOS, CINNA, cola, ComplexHeatmap, dcanr, DEGreport, DEP, DEsubs, diffcyt, ELMER, EnrichedHeatmap, ethnobotanyR, ForecastTB, GenomicTools, gfer, gtrellis, HilbertCurve, immunarch, ImpulseDE2, IntClust, iSEE, ITNr, LineagePulse, LymphoSeq, mldr, MOMA, MoonlightR, OpenLand, polyPK, profileplyr, recoup, rexposome, SEtools, sigQC, SingleCellSignalR, singleCellTK, SubgrPlots, TBSignatureProfiler, tidyHeatmap, TRONCO, wilson, YAPSA |
Reverse suggests: | ALPS, bfw, CNVScope, dendextend, eclust, gap, HMP16SData, pathwayPCA, rGREAT, sharpshootR, sigminer, StructuralVariantAnnotation, TCGAbiolinks, TimeSeriesExperiment |
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