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008 100301s2008 xxu| s |||| 0|eng d
020 _a9780387759692
024 7 _a10.1007/978-0-387-75969-2
_2doi
035 _a978-0-387-75969-2
072 7 _aUFM
_2bicssc
072 7 _aCOM077000
_2bisacsh
082 0 4 _a519.5
090 _amg
100 1 _aSarkar, Deepayan
_99347
245 1 0 _aLattice
_h[electronic resource]:
_bMultivariate Data Visualization with R/
_cby Deepayan Sarkar.
260 _aNew York:
_bSpringer New York,
_c2008.
300 _bdigital.
490 0 _aUse R!
505 0 _aIntroduction -- The anatomy of a Trellis display -- Visualizing univariate distributions -- Displaing multiway tables -- Scatter plots and extensions -- Trivariate displays -- Specialized displays -- Scales -- Annotation -- Devices, themes and other options -- Conditioning -- Manipulating the Trellis object -- Augmenting Trellis displays -- Writing panel functions -- Creating new Trellis displays -- A few tips and tricks .
520 _aR is rapidly growing in popularity as the environment of choice for data analysis and graphics both in academia and industry. Lattice brings the proven design of Trellis graphics (originally developed for S by William S. Cleveland and colleagues at Bell Labs) to R, considerably expanding its capabilities in the process. Lattice is a powerful and elegant high level data visualization system that is sufficient for most everyday graphics needs, yet flexible enough to be easily extended to handle demands of cutting edge research. Written by the author of the lattice system, this book describes it in considerable depth, beginning with the essentials and systematically delving into specific low levels details as necessary. No prior experience with lattice is required to read the book, although basic familiarity with R is assumed. The book contains close to150 figures produced with lattice. Many of the examples emphasize principles of good graphical design; almost all use real data sets that are publicly available in various R packages. All code and figures in the book are also available online, along with supplementary material covering more advanced topics. Deepayan Sarkar won the 2004 John M. Chambers Statistical Software Award for writing lattice while he was a graduate student in Statistics at the University of Wisconsin-Madison. He is currently doing postdoctoral research in the Computational Biology program at the Fred Hutchinson Cancer Research Center, a member of the R Core Team, and an active participant on the R mailing lists .
650 0 _aStatistics.
_943790
650 0 _aComputer graphics
_937449
650 0 _aVisualization.
_931595
650 0 _aMathematical statistics
_943558
650 1 4 _aStatistics.
_943790
650 2 4 _aStatistics and Computing/Statistics Programs
_99348
650 2 4 _aVisualization.
_931595
650 2 4 _aComputer graphics
_937449
697 _aMatemáticas Gerais-
_x(inclusive alguns textos elementares sobre assuntos específicos)
_923752
710 1 _aSpringerLink (Online service).
_98857
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387759685
830 0 _aUse R!
_99117
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-387-75969-2
942 _2impa
_cEBK
999 _aSARKAR, Deepayan. <b> Lattice: </b> Multivariate Data Visualization with R. New York: Springer New York, 2008. (Use R!). ISBN 9780387759692. Disponível em: <http://dx.doi.org/10.1007/978-0-387-75969-2 >
_c38503
_d38503