An Introduction To Data Analysis Using Aggregation Functions In R

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An Introduction to Data Analysis using Aggregation Functions in R

Author : Simon James
Publisher : Springer
ISBN 13 : 331946762X
Total Pages : 205 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis An Introduction to Data Analysis using Aggregation Functions in R by : Simon James

Download or read book An Introduction to Data Analysis using Aggregation Functions in R written by Simon James and published by Springer. This book was released on 2016-11-07 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools. Offering a broad overview of recent trends in aggregation research, it complements any study in statistical or machine learning techniques. Readers will learn how to program key functions in R without obtaining an extensive programming background. Sections of the textbook cover background information and context, aggregating data with averaging functions, power means, and weighted averages including the Borda count. It explains how to transform data using normalization or scaling and standardization, as well as log, polynomial, and rank transforms. The section on averaging with interaction introduces OWS functions and the Choquet integral, simple functions that allow the handling of non-independent inputs. The final chapters examine software analysis with an emphasis on parameter identification rather than technical aspects. This textbook is designed for students studying computer science or business who are interested in tools for summarizing and interpreting data, without requiring a strong mathematical background. It is also suitable for those working on sophisticated data science techniques who seek a better conception of fundamental data aggregation. Solutions to the practice questions are included in the textbook.

Discrete Fuzzy Measures

Author : Gleb Beliakov
Publisher : Springer
ISBN 13 : 3030153053
Total Pages : 245 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Discrete Fuzzy Measures by : Gleb Beliakov

Download or read book Discrete Fuzzy Measures written by Gleb Beliakov and published by Springer. This book was released on 2019-03-19 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses computer scientists, IT specialists, mathematicians, knowledge engineers and programmers, who are engaged in research and practice of multicriteria decision making. Fuzzy measures, also known as capacities, allow one to combine degrees of preferences, support or fuzzy memberships into one representative value, taking into account interactions between the inputs. The notions of mutual reinforcement or redundancy are modeled explicitly through coefficients of fuzzy measures, and fuzzy integrals, such as the Choquet and Sugeno integrals combine the inputs. Building on previous monographs published by the authors and dealing with different aspects of aggregation, this book especially focuses on the Choquet and Sugeno integrals. It presents a number of new findings concerning computation of fuzzy measures, learning them from data and modeling interactions. The book does not require substantial mathematical background, as all the relevant notions are explained. It is intended as concise, timely and self-contained guide to the use of fuzzy measures in the field of multicriteria decision making.

Handbook of Research on Multidisciplinary Perspectives on Managerial and Leadership Psychology

Author : Johnson, Rick D.
Publisher : IGI Global
ISBN 13 : 1799838129
Total Pages : 742 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Multidisciplinary Perspectives on Managerial and Leadership Psychology by : Johnson, Rick D.

Download or read book Handbook of Research on Multidisciplinary Perspectives on Managerial and Leadership Psychology written by Johnson, Rick D. and published by IGI Global. This book was released on 2021-01-22 with total page 742 pages. Available in PDF, EPUB and Kindle. Book excerpt: The subject of leadership and managerial psychology exists as a sub-branch of psychology within the fields of industrial and organizational psychology. There still appears to be ongoing debate regarding the core pathology for gaining managerial expertise in professional roles relative to having suitable leadership skills and managerial knowledge beyond the direct daily work involved in organizations. Professional organizations inherently include varied levels of sensitive human interactions, which further necessitates their management professionals to have leadership styles that are adjustable contingent on a given situation. Relative to this edited book, managerial psychology is being utilized in a way that may subsequently seek to develop a series of scientific theory principles where the focus is to develop managerial axioms that advance contemporary existing knowledge surrounding professional management logic. The Handbook of Research on Multidisciplinary Perspectives on Managerial and Leadership Psychology provides value uncovered by a collaboration of generalists and specialists who bring professional managerial and leadership opinions to light through narratives and research inclusive of fundamental theory principles that can be applied in practice and academia. This edited reference is focused on the enhancement of management research through managerial psychology while highlighting topics including business process knowledge, management in diverse discipline situations and professions, corporate leadership responsibility, leadership of self and others, and leadership psychology in a variety of different fields of work. This book is ideally designed for leadership and management professionals, academicians, students, and researchers in the fields of knowledge management, administrative sciences and management, leadership development, education, and organization development sub-branches or specialty practices.

Aggregation Functions

Author : Michel Grabisch
Publisher : Cambridge University Press
ISBN 13 : 0521519268
Total Pages : 481 pages
Book Rating : 4.5/5 (215 download)

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Book Synopsis Aggregation Functions by : Michel Grabisch

Download or read book Aggregation Functions written by Michel Grabisch and published by Cambridge University Press. This book was released on 2009-07-09 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: A rigorous and self-contained exposition of aggregation functions and their properties.

Hands-On Data Science with R

Author : Vitor Bianchi Lanzetta
Publisher : Packt Publishing Ltd
ISBN 13 : 1789135834
Total Pages : 414 pages
Book Rating : 4.7/5 (891 download)

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Book Synopsis Hands-On Data Science with R by : Vitor Bianchi Lanzetta

Download or read book Hands-On Data Science with R written by Vitor Bianchi Lanzetta and published by Packt Publishing Ltd. This book was released on 2018-11-30 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on guide for professionals to perform various data science tasks in R Key FeaturesExplore the popular R packages for data scienceUse R for efficient data mining, text analytics and feature engineeringBecome a thorough data science professional with the help of hands-on examples and use-cases in RBook Description R is the most widely used programming language, and when used in association with data science, this powerful combination will solve the complexities involved with unstructured datasets in the real world. This book covers the entire data science ecosystem for aspiring data scientists, right from zero to a level where you are confident enough to get hands-on with real-world data science problems. The book starts with an introduction to data science and introduces readers to popular R libraries for executing data science routine tasks. This book covers all the important processes in data science such as data gathering, cleaning data, and then uncovering patterns from it. You will explore algorithms such as machine learning algorithms, predictive analytical models, and finally deep learning algorithms. You will learn to run the most powerful visualization packages available in R so as to ensure that you can easily derive insights from your data. Towards the end, you will also learn how to integrate R with Spark and Hadoop and perform large-scale data analytics without much complexity. What you will learnUnderstand the R programming language and its ecosystem of packages for data scienceObtain and clean your data before processingMaster essential exploratory techniques for summarizing dataExamine various machine learning prediction, modelsExplore the H2O analytics platform in R for deep learningApply data mining techniques to available datasetsWork with interactive visualization packages in RIntegrate R with Spark and Hadoop for large-scale data analyticsWho this book is for If you are a budding data scientist keen to learn about the popular pandas library, or a Python developer looking to step into the world of data analysis, this book is the ideal resource you need to get started. Some programming experience in Python will be helpful to get the most out of this course

Comp-Informatic Practices-TB-12-R

Author : Reeta Sahoo, Gagan Sahoo
Publisher : New Saraswati House India Pvt Ltd
ISBN 13 : 9353621348
Total Pages : pages
Book Rating : 4.3/5 (536 download)

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Book Synopsis Comp-Informatic Practices-TB-12-R by : Reeta Sahoo, Gagan Sahoo

Download or read book Comp-Informatic Practices-TB-12-R written by Reeta Sahoo, Gagan Sahoo and published by New Saraswati House India Pvt Ltd. This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Comp-Informatic Practices-TB-12-R

Data Manipulation with R

Author : Phil Spector
Publisher : Springer Science & Business Media
ISBN 13 : 0387747303
Total Pages : 158 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Data Manipulation with R by : Phil Spector

Download or read book Data Manipulation with R written by Phil Spector and published by Springer Science & Business Media. This book was released on 2008-03-19 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a wide array of methods applicable for reading data into R, and efficiently manipulating that data. In addition to the built-in functions, a number of readily available packages from CRAN (the Comprehensive R Archive Network) are also covered. All of the methods presented take advantage of the core features of R: vectorization, efficient use of subscripting, and the proper use of the varied functions in R that are provided for common data management tasks. Most experienced R users discover that, especially when working with large data sets, it may be helpful to use other programs, notably databases, in conjunction with R. Accordingly, the use of databases in R is covered in detail, along with methods for extracting data from spreadsheets and datasets created by other programs. Character manipulation, while sometimes overlooked within R, is also covered in detail, allowing problems that are traditionally solved by scripting languages to be carried out entirely within R. For users with experience in other languages, guidelines for the effective use of programming constructs like loops are provided. Since many statistical modeling and graphics functions need their data presented in a data frame, techniques for converting the output of commonly used functions to data frames are provided throughout the book.

A Survivor's Guide to R

Author : Kurt Taylor Gaubatz
Publisher : SAGE Publications
ISBN 13 : 1483346889
Total Pages : 489 pages
Book Rating : 4.4/5 (833 download)

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Book Synopsis A Survivor's Guide to R by : Kurt Taylor Gaubatz

Download or read book A Survivor's Guide to R written by Kurt Taylor Gaubatz and published by SAGE Publications. This book was released on 2014-04-22 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on developing practical R skills rather than teaching pure statistics, Dr. Kurt Taylor Gaubatz’s A Survivor’s Guide to R provides a gentle yet thorough introduction to R. The book is structured around critical R tasks, and focuses on applied knowledge, rather than abstract concepts. Gaubatz’s easy-to-read approach helps students with little or no background in statistics or programming to develop real-world R skills through straightforward coverage of R objects and functions. Focusing on real-world data, the challenges of dataset construction, and the use of R’s powerful graphing tools, the guide is written in an accessible, sympathetic, even humorous style that ensures students acquire functional R skills they can use in their own projects and carry into their work beyond the classroom.

An Introduction to Data Analysis in R

Author : Alfonso Zamora Saiz
Publisher : Springer Nature
ISBN 13 : 3030489973
Total Pages : 289 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis An Introduction to Data Analysis in R by : Alfonso Zamora Saiz

Download or read book An Introduction to Data Analysis in R written by Alfonso Zamora Saiz and published by Springer Nature. This book was released on 2020-07-27 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics such as the fundamentals of programming in R, data collection and preprocessing, including web scraping, data visualization, and statistical methods, including multivariate analysis, and feature exercises at the end of each section. The text requires only basic statistics skills, as it strikes a balance between statistical and mathematical understanding and implementation in R, with a special emphasis on reproducible examples and real-world applications. This textbook is primarily intended for undergraduate students of mathematics, statistics, physics, economics, finance and business who are pursuing a career in data analytics. It will be equally valuable for master students of data science and industry professionals who want to conduct data analyses.

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

Analysis of Categorical Data with R

Author : Christopher R. Bilder
Publisher : CRC Press
ISBN 13 : 1439855676
Total Pages : 549 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Analysis of Categorical Data with R by : Christopher R. Bilder

Download or read book Analysis of Categorical Data with R written by Christopher R. Bilder and published by CRC Press. This book was released on 2014-08-11 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn How to Properly Analyze Categorical Data Analysis of Categorical Data with R presents a modern account of categorical data analysis using the popular R software. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio and probability estimation. The authors give detailed advice and guidelines on which procedures to use and why to use them. The Use of R as Both a Data Analysis Method and a Learning Tool Requiring no prior experience with R, the text offers an introduction to the essential features and functions of R. It incorporates numerous examples from medicine, psychology, sports, ecology, and other areas, along with extensive R code and output. The authors use data simulation in R to help readers understand the underlying assumptions of a procedure and then to evaluate the procedure’s performance. They also present many graphical demonstrations of the features and properties of various analysis methods. Web Resource The data sets and R programs from each example are available at www.chrisbilder.com/categorical. The programs include code used to create every plot and piece of output. Many of these programs contain code to demonstrate additional features or to perform more detailed analyses than what is in the text. Designed to be used in tandem with the book, the website also uniquely provides videos of the authors teaching a course on the subject. These videos include live, in-class recordings, which instructors may find useful in a blended or flipped classroom setting. The videos are also suitable as a substitute for a short course.

Data Warehousing and Knowledge Discovery

Author : Alfredo Cuzzocrea
Publisher : Springer
ISBN 13 : 364232584X
Total Pages : 472 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Data Warehousing and Knowledge Discovery by : Alfredo Cuzzocrea

Download or read book Data Warehousing and Knowledge Discovery written by Alfredo Cuzzocrea and published by Springer. This book was released on 2012-08-29 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2012 held in Vienna, Austria, in September 2012. The 36 revised full papers presented were carefully reviewed and selected from 99 submissions. The papers are organized in topical sections on data warehouse design methodologies, ETL methodologies and tools, multidimensional data processing and management, data warehouse and OLAP extensions, data warehouse performance and optimization, data mining and knowledge discovery techniques, data mining and knowledge discovery applications, pattern mining, data stream mining, data warehouse confidentiality and security, and distributed paradigms and algorithms.

Data Science in Education Using R

Author : Ryan A. Estrellado
Publisher : Routledge
ISBN 13 : 1000200906
Total Pages : 315 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis Data Science in Education Using R by : Ryan A. Estrellado

Download or read book Data Science in Education Using R written by Ryan A. Estrellado and published by Routledge. This book was released on 2020-10-26 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.

Evolution and Challenges in System Development

Author : Joze Zupancic
Publisher : Springer Science & Business Media
ISBN 13 : 1461548519
Total Pages : 718 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Evolution and Challenges in System Development by : Joze Zupancic

Download or read book Evolution and Challenges in System Development written by Joze Zupancic and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a result of the Seventh International Conference on Information Sys tems Development-Methods and Tools, Theory and Practice held in Bled, Slovenia, Sep tember 21-23, 1998. The purpose of the conference was to address issues facing academia and industry when specifying, developing, managing, and improving information comput erized systems. During the past few years, many new concepts and approaches emerged in the Information Systems Development (ISD) field. The various theories, methods, and tools available to system developers also bring problems such as choosing the most effec tive approach for a specific task. This conference provides a meeting place for IS re searchers and practitioners from Eastern and Western Europe as well as from other parts of the world. An objective of the conference is not only to share scientific knowledge and in terests but to establish strong professional ties among the participants. The Seventh International Conference on Information Systems Develop ment-ISD'98 continues the concepts of the first Polish-Scandinavian Seminar on Current Trends in Information Systems Development Methodologies held in Gdansk, Poland in 1988. Through the years, the Seminar developed into the International Conference on In formation Systems Development. ISD'99 will be held in Boise, Idaho. The selection of papers was carried out by the International Program Committee. All papers were reviewed in advance by three people. Papers were judged according to their originality, relevance, and presentation quality. All papers were judged only on their own merits, independent of other submissions.

The Art of Wireless Sensor Networks

Author : Habib M. Ammari
Publisher : Springer Science & Business Media
ISBN 13 : 3642400094
Total Pages : 826 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis The Art of Wireless Sensor Networks by : Habib M. Ammari

Download or read book The Art of Wireless Sensor Networks written by Habib M. Ammari and published by Springer Science & Business Media. This book was released on 2013-12-13 with total page 826 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the last one and a half decades, wireless sensor networks have witnessed significant growth and tremendous development in both academia and industry. “The Art of Wireless Sensor Networks: Volume 1: Fundamentals” focuses on the fundamentals concepts in the design, analysis, and implementation of wireless sensor networks. It covers the various layers of the lifecycle of this type of network from the physical layer up to the application layer. Its rationale is that the first volume covers contemporary design issues, tools, and protocols for radio-based two-dimensional terrestrial sensor networks. All the book chapters in this volume include up-to-date research work spanning various classic facets of the physical properties and functional behavior of wireless sensor networks, including physical layer, medium access control, data routing, topology management, mobility management, localization, task management, data management, data gathering, security, middleware, sensor technology, standards, and operating systems. This book will be an excellent source of information for both senior undergraduate and graduate students majoring in computer science, computer engineering, electrical engineering, or any related discipline. In addition, computer scientists, researchers, and practitioners in both academia and industry will find this book useful and interesting.

Learning R

Author : Richard Cotton
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449357199
Total Pages : 400 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Learning R by : Richard Cotton

Download or read book Learning R written by Richard Cotton and published by "O'Reilly Media, Inc.". This book was released on 2013-09-09 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, youâ??ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts. The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what youâ??ve learned, and concludes with exercises, most of which involve writing R code. Write a simple R program, and discover what the language can do Use data types such as vectors, arrays, lists, data frames, and strings Execute code conditionally or repeatedly with branches and loops Apply R add-on packages, and package your own work for others Learn how to clean data you import from a variety of sources Understand data through visualization and summary statistics Use statistical models to pass quantitative judgments about data and make predictions Learn what to do when things go wrong while writing data analysis code

R in Action, Third Edition

Author : Robert I. Kabacoff
Publisher : Simon and Schuster
ISBN 13 : 1638357013
Total Pages : 654 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis R in Action, Third Edition by : Robert I. Kabacoff

Download or read book R in Action, Third Edition written by Robert I. Kabacoff and published by Simon and Schuster. This book was released on 2022-06-28 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: R is the most powerful tool you can use for statistical analysis. This definitive guide smooths R’s steep learning curve with practical solutions and real-world applications for commercial environments. In R in Action, Third Edition you will learn how to: Set up and install R and RStudio Clean, manage, and analyze data with R Use the ggplot2 package for graphs and visualizations Solve data management problems using R functions Fit and interpret regression models Test hypotheses and estimate confidence Simplify complex multivariate data with principal components and exploratory factor analysis Make predictions using time series forecasting Create dynamic reports and stunning visualizations Techniques for debugging programs and creating packages R in Action, Third Edition makes learning R quick and easy. That’s why thousands of data scientists have chosen this guide to help them master the powerful language. Far from being a dry academic tome, every example you’ll encounter in this book is relevant to scientific and business developers, and helps you solve common data challenges. R expert Rob Kabacoff takes you on a crash course in statistics, from dealing with messy and incomplete data to creating stunning visualizations. This revised and expanded third edition contains fresh coverage of the new tidyverse approach to data analysis and R’s state-of-the-art graphing capabilities with the ggplot2 package. About the technology Used daily by data scientists, researchers, and quants of all types, R is the gold standard for statistical data analysis. This free and open source language includes packages for everything from advanced data visualization to deep learning. Instantly comfortable for mathematically minded users, R easily handles practical problems without forcing you to think like a software engineer. About the book R in Action, Third Edition teaches you how to do statistical analysis and data visualization using R and its popular tidyverse packages. In it, you’ll investigate real-world data challenges, including forecasting, data mining, and dynamic report writing. This revised third edition adds new coverage for graphing with ggplot2, along with examples for machine learning topics like clustering, classification, and time series analysis. What's inside Clean, manage, and analyze data Use the ggplot2 package for graphs and visualizations Techniques for debugging programs and creating packages A complete learning resource for R and tidyverse About the reader Requires basic math and statistics. No prior experience with R needed. About the author Dr. Robert I Kabacoff is a professor of quantitative analytics at Wesleyan University and a seasoned data scientist with more than 20 years of experience. Table of Contents PART 1 GETTING STARTED 1 Introduction to R 2 Creating a dataset 3 Basic data management 4 Getting started with graphs 5 Advanced data management PART 2 BASIC METHODS 6 Basic graphs 7 Basic statistics PART 3 INTERMEDIATE METHODS 8 Regression 9 Analysis of variance 10 Power analysis 11 Intermediate graphs 12 Resampling statistics and bootstrapping PART 4 ADVANCED METHODS 13 Generalized linear models 14 Principal components and factor analysis 15 Time series 16 Cluster analysis 17 Classification 18 Advanced methods for missing data PART 5 EXPANDING YOUR SKILLS 19 Advanced graphs 20 Advanced programming 21 Creating dynamic reports 22 Creating a package