The Big R Book

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The Big R-Book

Author : Philippe J. S. De Brouwer
Publisher : John Wiley & Sons
ISBN 13 : 1119632722
Total Pages : 928 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis The Big R-Book by : Philippe J. S. De Brouwer

Download or read book The Big R-Book written by Philippe J. S. De Brouwer and published by John Wiley & Sons. This book was released on 2020-10-27 with total page 928 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this book provides an overall introduction to R, focusing on tools and methods commonly used in data science, and placing emphasis on practice and business use. It covers a wide range of topics in a single volume, including big data, databases, statistical machine learning, data wrangling, data visualization, and the reporting of results. The topics covered are all important for someone with a science/math background that is looking to quickly learn several practical technologies to enter or transition to the growing field of data science. The Big R-Book for Professionals: From Data Science to Learning Machines and Reporting with R includes nine parts, starting with an introduction to the subject and followed by an overview of R and elements of statistics. The third part revolves around data, while the fourth focuses on data wrangling. Part 5 teaches readers about exploring data. In Part 6 we learn to build models, Part 7 introduces the reader to the reality in companies, Part 8 covers reports and interactive applications and finally Part 9 introduces the reader to big data and performance computing. It also includes some helpful appendices. Provides a practical guide for non-experts with a focus on business users Contains a unique combination of topics including an introduction to R, machine learning, mathematical models, data wrangling, and reporting Uses a practical tone and integrates multiple topics in a coherent framework Demystifies the hype around machine learning and AI by enabling readers to understand the provided models and program them in R Shows readers how to visualize results in static and interactive reports Supplementary materials includes PDF slides based on the book’s content, as well as all the extracted R-code and is available to everyone on a Wiley Book Companion Site The Big R-Book is an excellent guide for science technology, engineering, or mathematics students who wish to make a successful transition from the academic world to the professional. It will also appeal to all young data scientists, quantitative analysts, and analytics professionals, as well as those who make mathematical models.

The Book of R

Author : Tilman M. Davies
Publisher : No Starch Press
ISBN 13 : 1593277792
Total Pages : 833 pages
Book Rating : 4.5/5 (932 download)

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Book Synopsis The Book of R by : Tilman M. Davies

Download or read book The Book of R written by Tilman M. Davies and published by No Starch Press. This book was released on 2016-07-16 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.

The Big Book of Tricks and Magic

Author : James R. Blackman
Publisher : Random House Trade
ISBN 13 : 9780394841557
Total Pages : 76 pages
Book Rating : 4.8/5 (415 download)

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Book Synopsis The Big Book of Tricks and Magic by : James R. Blackman

Download or read book The Big Book of Tricks and Magic written by James R. Blackman and published by Random House Trade. This book was released on 1979 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents 40 tricks which can be performed with simple materials such as coins, matches, and water glasses.

The R Book

Author : Michael J. Crawley
Publisher : John Wiley & Sons
ISBN 13 : 9780470515068
Total Pages : 953 pages
Book Rating : 4.5/5 (15 download)

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Book Synopsis The R Book by : Michael J. Crawley

Download or read book The R Book written by Michael J. Crawley and published by John Wiley & Sons. This book was released on 2007-06-13 with total page 953 pages. Available in PDF, EPUB and Kindle. Book excerpt: The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences.

R for Data Science

Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis R for Data Science by : Hadley Wickham

Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

The Big Blue Book of Beginner Books

Author : P.D. Eastman
Publisher : Random House Books for Young Readers
ISBN 13 : 0375855521
Total Pages : 355 pages
Book Rating : 4.3/5 (758 download)

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Book Synopsis The Big Blue Book of Beginner Books by : P.D. Eastman

Download or read book The Big Blue Book of Beginner Books written by P.D. Eastman and published by Random House Books for Young Readers. This book was released on 2008-09-23 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: What could make a better present than a classic Beginner Book? Six of them—for less than the price of two! We've taken the complete text and art of three beloved P.D. Eastman titles: Go, Dog. Go!, Are You My Mother?, and The Best Nest; Robert Lopshire's Put Me In the Zoo (the first of his books featuring the character Spot); Marilyn Sadler and Roger Bollen's It's Not Easy Being a Bunny (the first PJ Funnybunny story); and Mike McClintock's charming, cautionary tale A Fly Went By, and bound them together in one sturdy hardcover omnibus. A perfect introduction to reading that will whet young readers appetites for additional books in the Beginner Book series.

Reproducible Finance with R

Author : Jonathan K. Regenstein, Jr.
Publisher : CRC Press
ISBN 13 : 1351052608
Total Pages : 248 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis Reproducible Finance with R by : Jonathan K. Regenstein, Jr.

Download or read book Reproducible Finance with R written by Jonathan K. Regenstein, Jr. and published by CRC Press. This book was released on 2018-09-24 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment management that explores the three major R/finance coding paradigms, emphasizes data visualization, and explains how to build a cohesive suite of functioning Shiny applications. The full source code, asset price data and live Shiny applications are available at reproduciblefinance.com. The ideal reader works in finance or wants to work in finance and has a desire to learn R code and Shiny through simple, yet practical real-world examples. The book begins with the first step in data science: importing and wrangling data, which in the investment context means importing asset prices, converting to returns, and constructing a portfolio. The next section covers risk and tackles descriptive statistics such as standard deviation, skewness, kurtosis, and their rolling histories. The third section focuses on portfolio theory, analyzing the Sharpe Ratio, CAPM, and Fama French models. The book concludes with applications for finding individual asset contribution to risk and for running Monte Carlo simulations. For each of these tasks, the three major coding paradigms are explored and the work is wrapped into interactive Shiny dashboards.

Mastering Spark with R

Author : Javier Luraschi
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492046329
Total Pages : 296 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Mastering Spark with R by : Javier Luraschi

Download or read book Mastering Spark with R written by Javier Luraschi and published by "O'Reilly Media, Inc.". This book was released on 2019-10-07 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems. Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users. Analyze, explore, transform, and visualize data in Apache Spark with R Create statistical models to extract information and predict outcomes; automate the process in production-ready workflows Perform analysis and modeling across many machines using distributed computing techniques Use large-scale data from multiple sources and different formats with ease from within Spark Learn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scale Dive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions

The Big R-Book

Author : Philippe J. S. De Brouwer
Publisher : John Wiley & Sons
ISBN 13 : 1119632765
Total Pages : 928 pages
Book Rating : 4.1/5 (196 download)

DOWNLOAD NOW!

Book Synopsis The Big R-Book by : Philippe J. S. De Brouwer

Download or read book The Big R-Book written by Philippe J. S. De Brouwer and published by John Wiley & Sons. This book was released on 2020-09-29 with total page 928 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this book provides an overall introduction to R, focusing on tools and methods commonly used in data science, and placing emphasis on practice and business use. It covers a wide range of topics in a single volume, including big data, databases, statistical machine learning, data wrangling, data visualization, and the reporting of results. The topics covered are all important for someone with a science/math background that is looking to quickly learn several practical technologies to enter or transition to the growing field of data science. The Big R-Book for Professionals: From Data Science to Learning Machines and Reporting with R includes nine parts, starting with an introduction to the subject and followed by an overview of R and elements of statistics. The third part revolves around data, while the fourth focuses on data wrangling. Part 5 teaches readers about exploring data. In Part 6 we learn to build models, Part 7 introduces the reader to the reality in companies, Part 8 covers reports and interactive applications and finally Part 9 introduces the reader to big data and performance computing. It also includes some helpful appendices. Provides a practical guide for non-experts with a focus on business users Contains a unique combination of topics including an introduction to R, machine learning, mathematical models, data wrangling, and reporting Uses a practical tone and integrates multiple topics in a coherent framework Demystifies the hype around machine learning and AI by enabling readers to understand the provided models and program them in R Shows readers how to visualize results in static and interactive reports Supplementary materials includes PDF slides based on the book’s content, as well as all the extracted R-code and is available to everyone on a Wiley Book Companion Site The Big R-Book is an excellent guide for science technology, engineering, or mathematics students who wish to make a successful transition from the academic world to the professional. It will also appeal to all young data scientists, quantitative analysts, and analytics professionals, as well as those who make mathematical models.

The Big Book of Hap and Leonard

Author : Joe R. Lansdale
Publisher : Tachyon Publications
ISBN 13 : 1616963093
Total Pages : 309 pages
Book Rating : 4.6/5 (169 download)

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Book Synopsis The Big Book of Hap and Leonard by : Joe R. Lansdale

Download or read book The Big Book of Hap and Leonard written by Joe R. Lansdale and published by Tachyon Publications. This book was released on 2018-03-07 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: The boys are back, and just in time for Season 3 of the Hap and Leonard TV series, starring Michael K. Williams (The Wire) and James Purefoy (Altered Carbon). Hap Collins looks like a good ’ol boy, but his lefty politics don’t match. His buddy, Vietnam veteran Leonard Pine, is even more complicated: black, conservative, gay . . . and an occasional arsonist. With Hap and Leonard on the job, small-time crooks all on the way on up to the Dixie Mafia are extremely nervous. Everyone's favorite ass-kicking Texan duo are further immortalized in this expanded collection of tall tales, slick nonfiction, and four full-length novellas.

Big Book of R Carry-over Stories

Author : Say It Right
Publisher :
ISBN 13 : 9780976049043
Total Pages : 155 pages
Book Rating : 4.0/5 (49 download)

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Book Synopsis Big Book of R Carry-over Stories by : Say It Right

Download or read book Big Book of R Carry-over Stories written by Say It Right and published by . This book was released on 2004-01-01 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Thomas' Big Book of Beginner Books (Thomas & Friends)

Author : Rev. W. Awdry
Publisher : Random House Books for Young Readers
ISBN 13 : 0449816435
Total Pages : 226 pages
Book Rating : 4.4/5 (498 download)

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Book Synopsis Thomas' Big Book of Beginner Books (Thomas & Friends) by : Rev. W. Awdry

Download or read book Thomas' Big Book of Beginner Books (Thomas & Friends) written by Rev. W. Awdry and published by Random House Books for Young Readers. This book was released on 2013-07-23 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thomas' Big Book of Beginner Books offers the following Thomas & Friends backlist favorites: Stop, Train, Stop!; A Crack in the Track; Go, Train, Go!; Blue Train, Green Train; Trains, Cranes & Troublesome Trucks; and Fast Train, Slow Train. The texts are tailored to beginning readers and will delight boys ages 3–6, whether they read them solo or listen to them read aloud.

Strategic Theory for the 21st Century: The Little Book on Big Strategy

Author : Harry R. Yarger
Publisher : DIANE Publishing
ISBN 13 : 1428916229
Total Pages : 93 pages
Book Rating : 4.4/5 (289 download)

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Book Synopsis Strategic Theory for the 21st Century: The Little Book on Big Strategy by : Harry R. Yarger

Download or read book Strategic Theory for the 21st Century: The Little Book on Big Strategy written by Harry R. Yarger and published by DIANE Publishing. This book was released on 2006 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Text Mining with R

Author : Julia Silge
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491981628
Total Pages : 193 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Text Mining with R by : Julia Silge

Download or read book Text Mining with R written by Julia Silge and published by "O'Reilly Media, Inc.". This book was released on 2017-06-12 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Favorites and Retweets; Summary; Chapter 8. Case Study : Mining NASA Metadata; How Data Is Organized at NASA; Wrangling and Tidying the Data; Some Initial Simple Exploration; Word Co-ocurrences and Correlations; Networks of Description and Title Words; Networks of Keywords; Calculating tf-idf for the Description Fields; What Is tf-idf for the Description Field Words?; Connecting Description Fields to Keywords; Topic Modeling.

Advanced R

Author : Hadley Wickham
Publisher : CRC Press
ISBN 13 : 1498759807
Total Pages : 476 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Advanced R by : Hadley Wickham

Download or read book Advanced R written by Hadley Wickham and published by CRC Press. This book was released on 2015-09-15 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R. The book develops the necessary skills to produce quality code that can be used in a variety of circumstances. You will learn: The fundamentals of R, including standard data types and functions Functional programming as a useful framework for solving wide classes of problems The positives and negatives of metaprogramming How to write fast, memory-efficient code This book not only helps current R users become R programmers but also shows existing programmers what’s special about R. Intermediate R programmers can dive deeper into R and learn new strategies for solving diverse problems while programmers from other languages can learn the details of R and understand why R works the way it does.

Business Case Analysis with R

Author : Robert D. Brown III
Publisher : Apress
ISBN 13 : 1484234952
Total Pages : 287 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Business Case Analysis with R by : Robert D. Brown III

Download or read book Business Case Analysis with R written by Robert D. Brown III and published by Apress. This book was released on 2018-03-01 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: This tutorial teaches you how to use the statistical programming language R to develop a business case simulation and analysis. It presents a methodology for conducting business case analysis that minimizes decision delay by focusing stakeholders on what matters most and suggests pathways for minimizing the risk in strategic and capital allocation decisions. Business case analysis, often conducted in spreadsheets, exposes decision makers to additional risks that arise just from the use of the spreadsheet environment. R has become one of the most widely used tools for reproducible quantitative analysis, and analysts fluent in this language are in high demand. The R language, traditionally used for statistical analysis, provides a more explicit, flexible, and extensible environment than spreadsheets for conducting business case analysis. The main tutorial follows the case in which a chemical manufacturing company considers constructing a chemical reactor and production facility to bring a new compound to market. There are numerous uncertainties and risks involved, including the possibility that a competitor brings a similar product online. The company must determine the value of making the decision to move forward and where they might prioritize their attention to make a more informed and robust decision. While the example used is a chemical company, the analysis structure it presents can be applied to just about any business decision, from IT projects to new product development to commercial real estate. The supporting tutorials include the perspective of the founder of a professional service firm who wants to grow his business and a member of a strategic planning group in a biomedical device company who wants to know how much to budget in order to refine the quality of information about critical uncertainties that might affect the value of a chosen product development pathway. What You’ll Learn Set up a business case abstraction in an influence diagram to communicate the essence of the problem to other stakeholders Model the inherent uncertainties in the problem with Monte Carlo simulation using the R language Communicate the results graphically Draw appropriate insights from the results Develop creative decision strategies for thorough opportunity cost analysis Calculate the value of information on critical uncertainties between competing decision strategies to set the budget for deeper data analysis Construct appropriate information to satisfy the parameters for the Monte Carlo simulation when little or no empirical data are available Who This Book Is For Financial analysts, data practitioners, and risk/business professionals; also appropriate for graduate level finance, business, or data science students

My Big Book of Beginner Books About Me

Author : Various
Publisher : Random House Books for Young Readers
ISBN 13 : 0307931838
Total Pages : 210 pages
Book Rating : 4.3/5 (79 download)

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Book Synopsis My Big Book of Beginner Books About Me by : Various

Download or read book My Big Book of Beginner Books About Me written by Various and published by Random House Books for Young Readers. This book was released on 2011-12-27 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collectible Dr. Seuss collection of six classic Beginner Books all about the body is perfect for inspiring a love of reading--and makes a great educational back-to-school gift! Eyes, ears, teeth, noses, feet, knees—practically every living thing has got them—and their variations are fascinating, especially to young children. And now, consumers of all ages can indulge their curiosity about these beguiling body parts. Books in this box set include: The Foot Book The Eye Book The Tooth Book The Nose Book The Ear Book The Knee Book A perfect gift for holidays and happy occaisions of all kinds, My Big Book of Beginner Books About Me is not only a great value, it's a great "body" of work! Originally created by Dr. Seuss himself, Beginner Books are fun, funny, and easy to read. These unjacketed hardcover early readers encourage children to read all on their own, using simple words and illustrations. Smaller than the classic large format Seuss picture books like The Lorax and Oh, The Places You’ll Go!, these portable packages are perfect for practicing readers ages 3-7—and lucky parents too!