ggplot2 (0.9.1)
An implementation of the Grammar of Graphics.
http://had.co.nz/ggplot2/
http://cran.r-project.org/web/packages/ggplot2
An implementation of the grammar of graphics in R. It combines the advantages of both base and lattice graphics: conditioning and shared axes are handled automatically, and you can still build up a plot step by step from multiple data sources. It also implements a sophisticated multidimensional conditioning system and a consistent interface to map data to aesthetic attributes. See the ggplot2 website for more information, documentation and examples.
Maintainer:
Hadley Wickham
Author(s): Hadley Wickham <h.wickham@gmail.com>
License: GPL-2
Uses: digest, MASS, memoise, plyr, proto, reshape2, scales, Hmisc, gpclib, mapproj, maps, maptools, multcomp, nlme, quantreg, hexbin, testthat
Reverse depends: benchmark, bfa, Biograph, bios2mds, cda, ChemoSpec, clusterfly, coefplot, Deducer, DescribeDisplay, dynsurv, erer, extracat, ez, ezsim, favir, fishmove, FourierDescriptors, GGally, ggcolpairs, ggdendro, ggmap, granovaGG, growcurves, gsDesign, HLMdiag, ISIPTA, MAc, MAd, mcprofile, MergeGUI, MissingDataGUI, Mobilize, munsell, NeatMap, nvis, PairedData, PAWL, pcaPA, pcrcoal, pequod, PhaseType, phylosim, PKgraph, PKreport, ppstat, processdata, productplots, ProjectTemplate, Rcell, RcmdrPlugin.KMggplot2, RcmdrPlugin.MAc, RcmdrPlugin.MAd, RGraphics, rplos, Rz, SDaA, SixSigma, sparkTable, spcosa, spef, spikeSlabGAM, tourr, TradeStrategyAnalyzer, TripleR, useful
Reverse suggests: abd, amer, archetypes, automap, bbmle, cda, data.table, dielectric, directlabels, evaluate, ggdendro, gridExtra, HistData, hyperSpec, Lahman, latticedl, lda, MAc, MAd, microbenchmark, mixstock, MSG, munsell, OpenStreetMap, PBImisc, phylosim, planar, playwith, pmg, profr, ProjectTemplate, PSCBS, R2admb, raster, rasterVis, RcmdrPlugin.MAc, RcmdrPlugin.MAd, RGraphics, robustbase, SamplerCompare, sendmailR, SuperLearner, tabplot, tabplotGTK, TeachingDemos, tikzDevice, tourr, tourrGui, trapezoid, TripleR, varbvs, wq, XLConnect
Reverse enhances: tis
Released 10 days ago.
8 previous versions
- ggplot2_0.9.0. Released 4 months ago.
- ggplot2_0.8.9. Released over 1 year ago.
- ggplot2_0.8.8. Released almost 2 years ago.
- ggplot2_0.8.7. Released about 2 years ago.
- ggplot2_0.8.5. Released over 2 years ago.
- ggplot2_0.8.3.
- ggplot2_0.6. Released over 4 years ago.
- ggplot2_0.5.6. Released over 4 years ago.
Ratings
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Reviews
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Excellent
ggplot2 is absolutely excellent, with much aesthetically appealing default features compared to the built-in graphic system. Moreover, the adoption…
zhentaoshi gave ggplot2 (0.8.9) a 5. Read the full review.
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Very flexible, but slow
I have produced many complex graphics with both ggplot and lattice. One recent example required 3 seconds in lattice and 15 seconds in ggplot. In…
kw.stat gave ggplot2 (0.8.9) a 3. Read the full review.
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Monumental effort by Hadley Wickham
The standard graphics package is great and quick to make simple figures like plot(x, y), hist(x), etc. However, as soon as you want to split your d…
elaliberte gave ggplot2 (0.8.7) a 5. Read the full review.
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A very practical graphics package
It took me a while to get my head wrapped around the grammar of graphics that orgnizes ggplot2, but it was well worth it. It’s an extremely well th…
brownstownboy gave ggplot2 (0.8.7) a 5. Read the full review.
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this package is AWESOME!!
I happened to run across a presentation of ggplot2 at roughly the same time I needed just what it supplies best: a visually stunning way to VERY Q…
this.is.mvw gave ggplot2 (0.8.3) a 5. Read the full review.
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Excellent tools for quality graphics
ggplot2 definitely gets a lot of things right when it comes to statistical graphics. It provides a powerful system that can generate a series of co…
Sharpie gave ggplot2 (0.8.3) a 5. Read the full review.
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simply the best graphics package for R
This package is quite simply the best graphics package available for R – and arguably the best statistical graphics package for any language.
g…
dataspora gave ggplot2 (0.8.3) a 5. Read the full review.
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Search for ggplot2 on google, google scholar, r-help, r-devel.
Visit ggplot2 on R Graphical Manual.
