R in a Nutshell

If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment.

Author: Joseph Adler

Publisher: "O'Reilly Media, Inc."

ISBN: 9781449358228

Category: Computers

Page: 724

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If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data. Author Joseph Adler illustrates each process with a wealth of examples from medicine, business, and sports. Updated for R 2.14 and 2.15, this second edition includes new and expanded chapters on R performance, the ggplot2 data visualization package, and parallel R computing with Hadoop. Get started quickly with an R tutorial and hundreds of examples Explore R syntax, objects, and other language details Find thousands of user-contributed R packages online, including Bioconductor Learn how to use R to prepare data for analysis Visualize your data with R’s graphics, lattice, and ggplot2 packages Use R to calculate statistical fests, fit models, and compute probability distributions Speed up intensive computations by writing parallel R programs for Hadoop Get a complete desktop reference to R
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Classical Electromagnetism in a Nutshell

where g(r) = 4π 1 u(r) = 4π1 ∫ ∫ |r−r f(r) | d3x , |r−r w(r) | d3x . (16.18) (16.19)
Note that if the source densities f and w are nonvanishing only in a bounded
region of space, then g and u both diminish as 1/r as r → ∞. For, taking the origin

Author: Anupam Garg

Publisher: Princeton University Press

ISBN: 9781400842759

Category: Science

Page: 712

View: 301

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This graduate-level physics textbook provides a comprehensive treatment of the basic principles and phenomena of classical electromagnetism. While many electromagnetism texts use the subject to teach mathematical methods of physics, here the emphasis is on the physical ideas themselves. Anupam Garg distinguishes between electromagnetism in vacuum and that in material media, stressing that the core physical questions are different for each. In vacuum, the focus is on the fundamental content of electromagnetic laws, symmetries, conservation laws, and the implications for phenomena such as radiation and light. In material media, the focus is on understanding the response of the media to imposed fields, the attendant constitutive relations, and the phenomena encountered in different types of media such as dielectrics, ferromagnets, and conductors. The text includes applications to many topical subjects, such as magnetic levitation, plasmas, laser beams, and synchrotrons. Classical Electromagnetism in a Nutshell is ideal for a yearlong graduate course and features more than 300 problems, with solutions to many of the advanced ones. Key formulas are given in both SI and Gaussian units; the book includes a discussion of how to convert between them, making it accessible to adherents of both systems. Offers a complete treatment of classical electromagnetism Emphasizes physical ideas Separates the treatment of electromagnetism in vacuum and material media Presents key formulas in both SI and Gaussian units Covers applications to other areas of physics Includes more than 300 problems
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Data Mining and Business Analytics with R

We consider (i) the 2006 birth data that is used in the book R in a Nutshell: A
Desktop Quick Reference (Adler, (2009)), (ii) data on the contributions to a
Midwestern private college (Ledolter and Swersey, (2007)), and (iii) the orange
juice data ...

Author: Johannes Ledolter

Publisher: John Wiley & Sons

ISBN: 9781118572153

Category: Computers

Page: 368

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Collecting, analyzing, and extracting valuable information froma large amount of data requires easily accessible, robust,computational and analytical tools. Data Mining and BusinessAnalytics with R utilizes the open source software R for theanalysis, exploration, and simplification of large high-dimensionaldata sets. As a result, readers are provided with the neededguidance to model and interpret complicated data and become adeptat building powerful models for prediction and classification. Highlighting both underlying concepts and practicalcomputational skills, Data Mining and Business Analytics withR begins with coverage of standard linear regression and theimportance of parsimony in statistical modeling. The book includesimportant topics such as penalty-based variable selection (LASSO);logistic regression; regression and classification trees;clustering; principal components and partial least squares; and theanalysis of text and network data. In addition, the bookpresents: • A thorough discussion and extensive demonstration of thetheory behind the most useful data mining tools • Illustrations of how to use the outlined concepts inreal-world situations • Readily available additional data sets and related Rcode allowing readers to apply their own analyses to the discussedmaterials • Numerous exercises to help readers with computing skillsand deepen their understanding of the material Data Mining and Business Analytics with R is an excellentgraduate-level textbook for courses on data mining and businessanalytics. The book is also a valuable reference for practitionerswho collect and analyze data in the fields of finance, operationsmanagement, marketing, and the information sciences.
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Nuclear Physics in a Nutshell

... sphere of radius R. If the nucleons could be considered as small hard spheres
of radius r in contact with each other, we could write 43 πR3 4 3 πr3 ∼= A or, in
another way, R ∼= r0A1/3, (4.1) where we put r0 in place of r to take into account

Author: Carlos A. Bertulani

Publisher: Princeton University Press

ISBN: 1400839327

Category: Science

Page: 488

View: 821

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Nuclear Physics in a Nutshell provides a clear, concise, and up-to-date overview of the atomic nucleus and the theories that seek to explain it. Bringing together a systematic explanation of hadrons, nuclei, and stars for the first time in one volume, Carlos A. Bertulani provides the core material needed by graduate and advanced undergraduate students of physics to acquire a solid understanding of nuclear and particle science. Nuclear Physics in a Nutshell is the definitive new resource for anyone considering a career in this dynamic field. The book opens by setting nuclear physics in the context of elementary particle physics and then shows how simple models can provide an understanding of the properties of nuclei, both in their ground states and excited states, and also of the nature of nuclear reactions. It then describes: nuclear constituents and their characteristics; nuclear interactions; nuclear structure, including the liquid-drop model approach, and the nuclear shell model; and recent developments such as the nuclear mean-field and the nuclear physics of very light nuclei, nuclear reactions with unstable nuclear beams, and the role of nuclear physics in energy production and nucleosynthesis in stars. Throughout, discussions of theory are reinforced with examples that provide applications, thus aiding students in their reading and analysis of current literature. Each chapter closes with problems, and appendixes address supporting technical topics.
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Land Use in a Nutshell

Robert R. Wright, Susan Webber Wright. Wright , Robert R . in a Nutshell . The
Stanford Law Library Use ROBERT R . WRIGHT. LAND USE Front Cover.

Author: Robert R. Wright

Publisher: West Publishing Company

ISBN: STANFORD:36105044611312

Category: City planning and redevelopment law

Page: 356

View: 885

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R Cookbook

For programming, I suggest using R in a Nutshell together with S Programming
by William Venables and Brian Ripley (Springer). I also suggest downloading the
R Language Definition. The Definition is a work in progress, but it can answer ...

Author: Paul Teetor

Publisher: "O'Reilly Media, Inc."

ISBN: 1449307264

Category: Computers

Page: 438

View: 678

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With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an experienced data programmer, it will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform other basic functions Input and output data Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals, and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data "Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language—one practical example at a time."—Jeffrey Ryan, software consultant and R package author
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A Primer in Biological Data Analysis and Visualization Using R

Chang (2013) Programming using R 1. The art of R programming. Matlo (2011) 2
. http://manuals.bioinformatics.ucr.edu/home/programming-in-r CHAPTER 1
INTRODUCING OUR SOFTWARE TEAM In science we are. R in a nutshell: A ...

Author: Gregg Hartvigsen

Publisher: Columbia University Press

ISBN: 9780231537049

Category: Science

Page: 160

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R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen's extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences. Underscoring the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data, Hartvigsen guides readers through the processes of entering data into R, working with data in R, and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data for normality, defining and identifying outliers, and working with non-normal data. Students are introduced to common one- and two-sample tests as well as one- and two-way analysis of variance (ANOVA), correlation, and linear and nonlinear regression analyses. This volume also includes a section on advanced procedures and a chapter introducing algorithms and the art of programming using R.
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Elementary Particle Physics in a Nutshell

GeV and decays into fermion-antifermion (two-fermion) final states, the leptonic
final states ,+,- and oo,,r for the three lepton flavors ( ,,)e , nx = , and the hadronic
final states qqr for the five energetically accessible quark flavors (q = u, d, s, c, b).

Author: Christopher G. Tully

Publisher: Princeton University Press

ISBN: 9780691131160

Category: Science

Page: 303

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The new experiments underway at the Large Hadron Collider at CERN in Switzerland may significantly change our understanding of elementary particle physics and, indeed, the universe. Suitable for first-year graduate students and advanced undergraduates, this textbook provides an introduction to the field
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Automated Data Collection with R

R package version 0.2. http://wsopuppenkiste.wiso.unigoettingen.de/dadler Adler
J. 2006. Baseball Hacks. O'Reilly, Sebastopol, CA. Adler J. 2009. R in a Nutshell.
A Desktop Quick Reference. O'Reilly, Sebastopol, CA. Alem ́an E, Calvo E, ...

Author: Simon Munzert

Publisher: John Wiley & Sons

ISBN: 9781118834817


Page: 480

View: 989

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"This book provides a unified framework of web scraping and information extraction from text data with R for the social sciences"--
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Coastal and Ocean Management Law in a Nutshell

This Nutshell serves as an introduction to U.S. coastal and ocean management law or as an effective refresher for both law students and practitioners.

Author: Donna R. Christie

Publisher: West Academic

ISBN: UCSD:31822027902519

Category: Law

Page: 397

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Coastal management law comprises aspects of property law, land use regulation, water law, natural resources law, constitutional law, federal and state statutory law, and international law in the special context of the coastal environment. This Nutshell serves as an introduction to U.S. coastal and ocean management law or as an effective refresher for both law students and practitioners.
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