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The Essential R Reference

The Essential R Reference
Author: Mark Gardener
Publisher: John Wiley & Sons
Total Pages: 657
Release: 2012-11-16
Genre: Computers
ISBN: 1118391381
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An essential library of basic commands you can copy and paste into R The powerful and open-source statistical programming language R is rapidly growing in popularity, but it requires that you type in commands at the keyboard rather than use a mouse, so you have to learn the language of R. But there is a shortcut, and that's where this unique book comes in. A companion book to Visualize This: The FlowingData Guide to Design, Visualization, and Statistics, this practical reference is a library of basic R commands that you can copy and paste into R to perform many types of statistical analyses. Whether you're in technology, science, medicine, business, or engineering, you can quickly turn to your topic in this handy book and find the commands you need. Comprehensive command reference for the R programming language and a companion book to Visualize This: The FlowingData Guide to Design, Visualization, and Statistics Combines elements of a dictionary, glossary, and thesaurus for the R language Provides easy accessibility to the commands you need, by topic, which you can cut and paste into R as needed Covers getting, saving, examining, and manipulating data; statistical test and math; and all the things you can do with graphs Also includes a collection of utilities that you'll find useful Simplify the complex statistical R programming language with The Essential R Reference. .

The R Book

The R Book
Author: Elinor Jones
Publisher: John Wiley & Sons
Total Pages: 884
Release: 2022-09-08
Genre: Computers
ISBN: 1119634431
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A start-to-finish guide to one of the most useful programming languages for researchers in a variety of fields In the newly revised Third Edition of The R Book, a team of distinguished teachers and researchers delivers a user-friendly and comprehensive discussion of foundational and advanced topics in the R software language, which is used widely in science, engineering, medicine, economics, and other fields. The book is designed to be used as both a complete text—readable from cover to cover—and as a reference manual for practitioners seeking authoritative guidance on particular topics. This latest edition offers instruction on the use of the RStudio GUI, an easy-to-use environment for those new to R. It provides readers with a complete walkthrough of the R language, beginning at a point that assumes no prior knowledge of R and very little previous knowledge of statistics. Readers will also find: A thorough introduction to fundamental concepts in statistics and step-by-step roadmaps to their implementation in R; Comprehensive explorations of worked examples in R; A complementary companion website with downloadable datasets that are used in the book; In-depth examination of essential R packages. Perfect for undergraduate and postgraduate students of science, engineering, medicine economics, and geography, The R Book will also earn a place in the libraries of social sciences professionals.

Statistical Analysis with R Essentials For Dummies

Statistical Analysis with R Essentials For Dummies
Author: Joseph Schmuller
Publisher: John Wiley & Sons
Total Pages: 199
Release: 2024-03-25
Genre: Computers
ISBN: 1394263430
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The easy way to get started coding and analyzing data in the R programming language Statistical Analysis with R Essentials For Dummies is your reference to all the core concepts about R—the widely used, open-source programming language and data analysis tool. This no-nonsense book gets right to the point, eliminating review material, wordy explanations, and fluff. Understand all you need to know about the foundations of R, swiftly and clearly. Perfect for a brush-up on the basics or as an everyday desk reference on the job, this is the reliable little book you can always turn to for answers. Get a quick and thorough intro to the basic concepts of coding for data analysis in R Review what you've already learned or pick up essential new skills Perform statistical analysis for school, business, and beyond with R programming Keep this concise reference book handy for jogging your memory as you work This book is to the point, focusing on the key topics readers need to know about this popular programming language. Great for supplementing classroom learning, reviewing for a certification, or staying knowledgeable on the job.

Cold War

Cold War
Author: James R. Arnold
Publisher: Bloomsbury Publishing USA
Total Pages: 476
Release: 2012-01-16
Genre: History
ISBN: 1610690044
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The impact of the Cold War is still being felt around the world today. This insightful single-volume reference captures the events and personalities of the era, while also inspiring critical thinking about this still-controversial period. Cold War: The Essential Reference Guide is intended to introduce students to the tensions between the Soviet Union and the United States that dominated international affairs in the second half of the 20th century. A comprehensive overview essay, plus separate essays on the causes and consequences of the conflict, will provide readers with the necessary context to understand the many facets of this complex era. The guide's expert contributors cover all of the influential people and pivotal events of the period, encompassing the United States, the Soviet Union, Europe, Southeast Asia, China, the Middle East, Latin America, and Africa from political, military, and cultural perspectives. Reference entries offer valuable insight into the leaders and conflicts that defined the Cold War, while other essays promote critical thinking about controversial and significant Cold War topics, including whether Ronald Reagan was responsible for ending the Cold War, the impact of Sputnik on the Cold War, and the significance of the Prague Spring.

Probability with R

Probability with R
Author: Jane M. Horgan
Publisher: John Wiley & Sons
Total Pages: 414
Release: 2011-09-30
Genre: Mathematics
ISBN: 1118165950
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A Complete Introduction to probability AND its computer Science Applications USING R Probability with R serves as a comprehensive and introductory book on probability with an emphasis on computing-related applications. Real examples show how probability can be used in practical situations, and the freely available and downloadable statistical programming language R illustrates and clarifies the book's main principles. Promoting a simulation- and experimentation-driven methodology, this book highlights the relationship between probability and computing in five distinctive parts: The R Language presents the essentials of the R language, including key procedures for summarizing and building graphical displays of statistical data. Fundamentals of Probability provides the foundations of the basic concepts of probability and moves into applications in computing. Topical coverage includes conditional probability, Bayes' theorem, system reliability, and the development of the main laws and properties of probability. Discrete Distributions addresses discrete random variables and their density and distribution functions as well as the properties of expectation. The geometric, binomial, hypergeometric, and Poisson distributions are also discussed and used to develop sampling inspection schemes. Continuous Distributions introduces continuous variables by examining the waiting time between Poisson occurrences. The exponential distribution and its applications to reliability are investigated, and the Markov property is illustrated via simulation in R. The normal distribution is examined and applied to statistical process control. Tailing Off delves into the use of Markov and Chebyshev inequalities as tools for estimating tail probabilities with limited information on the random variable. Numerous exercises and projects are provided in each chapter, many of which require the use of R to perform routine calculations and conduct experiments with simulated data. The author directs readers to the appropriate Web-based resources for installing the R software package and also supplies the essential commands for working in the R workspace. A related Web site features an active appendix as well as a forum for readers to share findings, thoughts, and ideas. With its accessible and hands-on approach, Probability with R is an ideal book for a first course in probability at the upper-undergraduate and graduate levels for readers with a background in computer science, engineering, and the general sciences. It also serves as a valuable reference for computing professionals who would like to further understand the relevance of probability in their areas of practice.

Bosnian Genocide

Bosnian Genocide
Author: Paul R. Bartrop
Publisher: Bloomsbury Publishing USA
Total Pages: 683
Release: 2016-01-18
Genre: Political Science
ISBN:
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Providing an indispensable resource for students and policy makers investigating the Bosnian catastrophes of the 1990s, this book provides a comprehensive survey of the leaders, ideas, movements, and events pertaining to one of the most devastating conflicts of contemporary times. In the three years of the Bosnian War, well over 100,000 people lost their lives, amid intense carnage. This led to unprecedented criminal prosecutions for genocide, war crimes, and crimes against humanity that are still taking place today. Bosnian Genocide: The Essential Reference Guide is the first encyclopedic treatment of the Balkan conflicts of the period from 1991 to 1999. It provides broad coverage of the nearly decade-long conflict, but with a major focus on the Bosnian War of 1992–1995. The book examines a variety of perspectives of the conflicts relating to Slovenia, Croatia, Bosnia-Herzegovina, Serbia, and Kosovo, among other developments that took place during the years spotlighted. The entries consider not only the leaders, ideas, movements, and events relating to the Bosnian War of 1992–1995 but also examine themes from before the war and after it. As such, coverage continues through to the Kosovo Intervention of 1999, arguing that this event, too, was part of the conflict that purportedly ended in 1995. This work will serve university students undertaking the study of genocide in the modern world and readers interested in modern wars, international crisis management, and peacekeeping and peacemaking.

Reference Guide for Essential Oils

Reference Guide for Essential Oils
Author: Connie Higley
Publisher: Abundant Health
Total Pages: 591
Release: 1998
Genre: Aromatherapy
ISBN: 097065832X
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Advanced R

Advanced R
Author: Hadley Wickham
Publisher: CRC Press
Total Pages: 669
Release: 2015-09-15
Genre: Mathematics
ISBN: 1498759807
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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.

The Essential Desk Reference

The Essential Desk Reference
Author: Oxford Staff
Publisher:
Total Pages: 866
Release: 2002
Genre: Reference
ISBN:
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This handy resource includes lists, chronologies, statistics, and diagrams related to world geography, the United States, science and medicine, arts and leisure, major prizes, and work and home. Some topics are: major religious holidays and festivals, international dialing codes and city codes, world travel requirements for US citizens, 125 significant American plays and musicals, pro football hall of fame, US national military sites, classic foreign-language films, major painters and sculptors, layers of the earth's atmosphere, 10 strongest world earthquakes, and endangered US animals and birds. Annotation copyrighted by Book News, Inc., Portland, OR

An Introduction to Statistical Learning

An Introduction to Statistical Learning
Author: Gareth James
Publisher: Springer Nature
Total Pages: 617
Release: 2023-08-01
Genre: Mathematics
ISBN: 3031387473
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An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.