000			03402nam a22004215i 4500
001			978-0-387-98141-3
003			DE-He213
005			20251006084433.0
007			cr nn 008mamaa
008			100715s2009 xxu| s |||| 0|eng d
020			_a9780387981413
020			_a99780387981413
024	7		_a10.1007/978-0-387-98141-3 _2doi
082	0	4	_a519.5 _223
100	1		_aWickham, Hadley. _eauthor.
245	1	0	_aggplot2 _h[electronic resource] : _bElegant Graphics for Data Analysis / _cby Hadley Wickham.
264		1	_aNew York, NY : _bSpringer New York, _c2009.
300			_aVIII, 213 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aUse R
505	0		_aGetting started with qplot -- Mastering the grammar -- Build a plot layer by layer -- Toolbox -- Scales, axes and legends -- Positioning -- Polishing your plots for publication -- Manipulating data -- Reducing duplication.
520			_aThis book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkison's Grammar of Graphics to create a powerful and flexible system for creating data graphics. With ggplot2, it's easy to: produce handsome, publication-quality plots, with automatic legends created from the plot specification superpose multiple layers (points, lines, maps, tiles, box plots to name a few) from different data sources, with automatically adjusted common scales add customisable smoothers that use the powerful modelling capabilities of R, such as loess, linear models, generalised additive models and robust regression save any ggplot2 plot (or part thereof) for later modification or reuse create custom themes that capture in-house or journal style requirements, and that can easily be applied to multiple plots approach your graph from a visual perspective, thinking about how each component of the data is represented on the final plot This book will be useful to everyone who has struggled with displaying their data in an informative and attractive way. You will need some basic knowledge of R (i.e. you should be able to get your data into R), but ggplot2 is a mini-language specifically tailored for producing graphics, and you'll learn everything you need in the book. After reading this book you'll be able to produce graphics customized precisely for your problems, and you'll find it easy to get graphics out of your head and on to the screen or page. Hadley Wickham is an Assistant Professor of Statistics at Rice University, and is interested in developing computational and cognitive tools for making data preparation, visualization, and analysis easier. He has developed 15 R packages and in 2006 he won the John Chambers Award for Statistical Computing for his work on the ggplot and reshape R packages.
650		0	_aSTATISTICS.
650		0	_aMATHEMATICAL STATISTICS.
650	1	4	_aSTATISTICS.
650	2	4	_aSTATISTICAL THEORY AND METHODS.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387981406
830		0	_aUse R
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-98141-3 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SMA
942			_2ddc _cER
999			_c59587 _d59587