The Essential R Reference

The Essential R Reference
Title The Essential R Reference PDF eBook
Author Mark Gardener
Publisher John Wiley & Sons
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. .

Cold War

Cold War
Title Cold War PDF eBook
Author James R. Arnold
Publisher Bloomsbury Publishing USA
Pages 612
Release 2012-01-16
Genre History
ISBN

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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.

Bosnian Genocide

Bosnian Genocide
Title Bosnian Genocide PDF eBook
Author Paul R. Bartrop
Publisher Bloomsbury Publishing USA
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.

The R Book

The R Book
Title The R Book PDF eBook
Author Michael J. Crawley
Publisher John Wiley & Sons
Pages 953
Release 2007-06-13
Genre Mathematics
ISBN 9780470515068

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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.

Doing Meta-Analysis with R

Doing Meta-Analysis with R
Title Doing Meta-Analysis with R PDF eBook
Author Mathias Harrer
Publisher CRC Press
Pages 500
Release 2021-09-15
Genre Mathematics
ISBN 1000435636

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Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced but highly relevant topics such as network meta-analysis, multi-three-level meta-analyses, Bayesian meta-analysis approaches and SEM meta-analysis are also covered. A companion R package, dmetar, is introduced at the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide. The programming and statistical background covered in the book are kept at a non-expert level, making the book widely accessible. Features • Contains two introductory chapters on how to set up an R environment and do basic imports/manipulations of meta-analysis data, including exercises • Describes statistical concepts clearly and concisely before applying them in R • Includes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book

An Introduction to Statistical Learning

An Introduction to Statistical Learning
Title An Introduction to Statistical Learning PDF eBook
Author Gareth James
Publisher Springer Nature
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.

Reference Guide for Essential Oils

Reference Guide for Essential Oils
Title Reference Guide for Essential Oils PDF eBook
Author Connie Higley
Publisher Abundant Health
Pages 591
Release 1998
Genre Aromatherapy
ISBN 097065832X

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