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020 _a9780387759692
_99780387759692
024 7 _a10.1007/9780387759692
_2doi
035 _avtls000332652
039 9 _a201509030235
_bVLOAD
_c201404122219
_dVLOAD
_c201404091949
_dVLOAD
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040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA276-280
100 1 _aSarkar, Deepayan.
_eautor
_9303910
245 1 0 _aLattice :
_bMultivariate Data Visualization with R /
_cby Deepayan Sarkar.
264 1 _aNew York, NY :
_bSpringer New York,
_c2008.
300 _brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aUse R!
500 _aSpringer eBooks
505 0 _aBasics -- A Technical Overview of lattice -- Visualizing Univariate Distributions -- Displaying Multiway Tables -- Scatter Plots and Extensions -- Trivariate Displays -- Finer Control -- Graphical Parameters and Other Settings -- Plot Coordinates and Axis Annotation -- Labels and Legends -- Data Manipulation and Related Topics -- Manipulating the “trellis” Object -- Interacting with Trellis Displays -- Extending Trellis Displays -- Advanced Panel Functions -- New Trellis Displays -- Color Plates.
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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387759685
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-387-75969-2
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999 _c279525
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