R for Everyone

Organised to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you'll need to accomplish 80 percent of modern data tasks.

Author: Jared P. Lander

ISBN: 013454692X

Category:

Page: 560

View: 642

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Doubly Classified Model with R

Data & Analytics Series. Teetor, P. (2011). R cookbook. O'Reilly. Chapter 2 Basic
Concepts 2.1 Contingency, Square, and Doubly Classified. 1.8 Read File into R
19 ...

Author: Teck Kiang Tan

Publisher: Springer

ISBN: 9789811069956

Category: Computers

Page: 264

View: 159

This book provides practical applications of doubly classified models by using R syntax to generate the models. It also presents these models in symbolic tables so as to cater to those who are not mathematically inclined, while numerous examples throughout the book illustrate the concepts and their applications. For those who are not aware of this modeling approach, it serves as a good starting point to acquire a basic understanding of doubly classified models. It is also a valuable resource for academics, postgraduate students, undergraduates, data analysts and researchers who are interested in examining square contingency tables.
Categories: Computers

Computational Methods for Numerical Analysis with R

Scientific Programming and Simulation Using R, Chapman and Hall/CRC. 2nd
ed. Boca Raton, Florida: The R Series; 2014. ... LanderJared P, R for Everyone,

Author: James P Howard, II

Publisher: CRC Press

ISBN: 9781351646505

Category: Mathematics

Page: 257

View: 940

Computational Methods for Numerical Analysis with R is an overview of traditional numerical analysis topics presented using R. This guide shows how common functions from linear algebra, interpolation, numerical integration, optimization, and differential equations can be implemented in pure R code. Every algorithm described is given with a complete function implementation in R, along with examples to demonstrate the function and its use. Computational Methods for Numerical Analysis with R is intended for those who already know R, but are interested in learning more about how the underlying algorithms work. As such, it is suitable for statisticians, economists, and engineers, and others with a computational and numerical background.
Categories: Mathematics

R For Marketing Research and Analytics

R-project.org/ package=caret, R package version 6.0-80. Kuhn, M., & Johnson, K.
(2013). Applied predictive modeling. Berlin: Springer. Lander, J. P. (2017). R for

Author: Chris Chapman

Publisher: Springer

ISBN: 9783030143169

Category: Computers

Page: 487

View: 922

The 2nd edition of R for Marketing Research and Analytics continues to be the best place to learn R for marketing research. This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visualization, which is presented throughout as an integral part of analysis. Later chapters cover more advanced topics yet are intended to be approachable for all analysts. These sections examine logistic regression, customer segmentation, hierarchical linear modeling, market basket analysis, structural equation modeling, and conjoint analysis in R. The text uniquely presents Bayesian models with a minimally complex approach, demonstrating and explaining Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis. With its emphasis on data visualization, model assessment, and development of statistical intuition, this book provides guidance for any analyst looking to develop or improve skills in R for marketing applications. The 2nd edition increases the book’s utility for students and instructors with the inclusion of exercises and classroom slides. At the same time, it retains all of the features that make it a vital resource for practitioners: non-mathematical exposition, examples modeled on real world marketing problems, intuitive guidance on research methods, and immediately applicable code.
Categories: Computers

Introductory R A Beginner s Guide to Data Visualisation Statistical Analysis and Programming in R

The R book. (2007, second edition 2012). M.J. Crawley John Wiley and Sons. Big
heavy book with lots of (mostly) good stuff. Great on things ... Really a book about
theoretical ecology with examples using R. R for everyone: Advanced Analytics
and Graphics (2013). Jared P. Lander. Addison-Wesley Data & Analytics Series.

Author: Robert Knell

Publisher: Robert Knell

ISBN: 9780957597112

Category:

Page: 531

View: 624

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Visualization and Data Analysis

R . Vickery , R . Moorhead , R . Brou , D . Carruth , and S . Doane were funded by
ONR grant N00014 - 001 - 0560 . ... R . Grzeszczuk , C . Henn , and R . Yagel , “
Advanced Geometric Techniques for Ray Casting Volumes , " in SIGGRAPH ' 98
Course Notes , ACM ... The Visualization Toolkit , An Object - Oriented Approach
to 3D Graphics , Prentice - Hall PTR , Upper Saddle River , NJ 07458 , 2nd ed . ,
1998 . ISBN 0 ... 293 – 302 , ACM SIGGRAPH , Addison Wesley , August 1997 .

Author:

Publisher:

ISBN: UOM:39015051830159

Category: Computer graphics

Page:

View: 746

Categories: Computer graphics

Proceedings of the Section on Statistical Graphics

Variable coefficient t - value sig . level Residual Analysis CONSTANT In (
WINAVG ) In ( YEAR ) ln ( PCONTRI ) In ... 4672 R - SQ . ( ADJ . ) = 0 . 5937 SE =
0 . 567901 MAE = 0 . 422835 DurbWat = 2 . 154 176 observations fitted . ... s
performance than the career batting average since the latter does not take into
account the number of bases advanced on a hit . ... Data Analysis and
Regression : A Second Course in Statistics , Addison - wesley . ... SPSS - X User '
s Guide , 2nd Edition .

Author: American Statistical Association. Section on Statistical Graphics

Publisher:

ISBN: UOM:39015059125693

Category: Mathematical statistics

Page:

View: 786

Categories: Mathematical statistics

El Hi Textbooks Serials in Print 2003

Author:

Publisher:

ISBN: 0835245462

Category: Periodicals

Page:

View: 426

Categories: Periodicals

Forthcoming Books

Author: Rose Arny

Publisher:

ISBN: UOM:39015046427004

Category: American literature

Page:

View: 910

Categories: American literature

The Computer Users Year Book

Author:

Publisher:

ISBN: UOM:39015007666202

Category: Computer industry

Page:

View: 396

Categories: Computer industry

Journal of the American Statistical Association

Tufte , E . R . ( 1983 ) , The Visual Display of Quantitative Information , Graphics
Press , Cheshire , CT . ... Tukey , J . W . ( 1977 ) , Exploratory Data Analysis ,
Reading , MA : AddisonWesley . ... Inevitably , not all important arms control
issues are covered . ... This well - written , thorough , and ( so far as I know )
unique book discusses some statistical aspects of verifying compliance with arms
control treaties ...

Author:

Publisher:

ISBN: UOM:49015003225878

Category: Electronic journals

Page:

View: 649

Categories: Electronic journals

Books in Print

Author:

Publisher:

ISBN: STANFORD:36105025888467

Category: American literature

Page:

View: 277

Categories: American literature

El Hi Textbooks Serials in Print 2005

Calculus with Analytic Geometry Alternate with Late Trigonometry . 4th alt . ed .
Roland E. Larson & Robert P. Hostetler . ... Contemporary Precalculus Through
Applications : Functions , Data Analysis & Matrices . rev . ... Addison - Wesley
Educational Pubs . , Inc. Easy - Way Series , Barron's Educational Series , Inc.
Arithmetic the Easy Way ... Rex Miller & Mark R. Miller . ... ( 0-669-24650-6 ) ;
Macintosh . ( 0-669-24652-2 ) Foundations of Analysis . 2nd ed . Edmund
Landau . 136p . 1960.

Author:

Publisher:

ISBN: 0835246809

Category: Education

Page:

View: 321

Categories: Education

Books to Come

Author:

Publisher:

ISBN: UOM:39015036928631

Category: American literature

Page:

View: 804

Categories: American literature

The Cumulative Book Index

Author:

Publisher:

ISBN: STANFORD:36105124517736

Category: American literature

Page:

View: 178

Categories: American literature

Computer Books and Serials in Print

Author:

Publisher:

ISBN: UOM:39015036927898

Category: Computer science literature

Page:

View: 712

Categories: Computer science literature

El Hi Textbooks Serials in Print 2000

Author:

Publisher:

ISBN: 0835242714

Category: Periodicals

Page: 2625

View: 191

Categories: Periodicals

American Book Publishing Record

Author:

Publisher:

ISBN: UOM:39015066180400

Category: American literature

Page:

View: 439

Categories: American literature

Stats

This book is organized into short chapters that concentrate on one topic at a time, offering instructors maximum flexibility in planning their courses.

Author: Richard D. De Veaux

Publisher: Pearson College Division

ISBN: 0321692551

Category: Mathematics

Page: 865

View: 612

Stats: Data and Models, Third Edition, will intrigue and challenge students by encouraging them to think statistically and by emphasizing how statistics helps us understand the world. Praised by students and instructors alike for its readability and ease of comprehension, this text focuses on statistical thinking and data analysis. The authors draw from their wealth of consulting experience to craft compelling examples, which encourages students to learn how to reason with data. This book is organized into short chapters that concentrate on one topic at a time, offering instructors maximum flexibility in planning their courses. The text is appropriate for a one-or-two semester introductory statistics course and includes advanced topics, such as Analysis of Variance (ANOVA), Multiple Regression, and Nonparametrics.
Categories: Mathematics

Software Engineering

The programming approach emphasized in this text builds on the readerAs understanding of small-scale programming and extends this knowledge into the realm of large-scale software engineering.

Author: Doug Bell