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The Essential R Reference

Author: Mark Gardener

Publisher: John Wiley & Sons

Published: 2012-11-16

Total Pages: 657

ISBN-13: 1118391381

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

Author: James R. Arnold

Publisher: Bloomsbury Publishing USA

Published: 2012-01-16

Total Pages: 612

ISBN-13:

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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.

The Book of R

Author: Tilman M. Davies

Publisher: No Starch Press

Published: 2016-07-16

Total Pages: 833

ISBN-13: 1593277792

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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.

Visual Basic .NET

Author: Jeffrey R. Shapiro

Publisher: McGraw-Hill/Osborne Media

Published: 2002

Total Pages: 948

ISBN-13:

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A must-have resource for new and established VB developers, this guide coverscore topics like controls, arrays, data structures and OOP.

R for Data Science

Author: Hadley Wickham

Publisher: "O'Reilly Media, Inc."

Published: 2016-12-12

Total Pages: 521

ISBN-13: 1491910364

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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 Essential Desk Reference

Author: Oxford Staff

Publisher:

Published: 2002

Total Pages: 866

ISBN-13:

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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

Basic Statistics with R

Author: Stephen C. Loftus

Publisher: Academic Press

Published: 2021-02-20

Total Pages: 306

ISBN-13: 0128209267

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Basic Statistics with R: Reaching Decisions with Data provides an understanding of the processes at work in using data for results. Sections cover data collection and discuss exploratory analyses, including visual graphs, numerical summaries, and relationships between variables - basic probability, and statistical inference - including hypothesis testing and confidence intervals. All topics are taught using real-data drawn from various fields, including economics, biology, political science and sports. Using this wide variety of motivating examples allows students to directly connect and make statistics essential to their field of interest, rather than seeing it as a separate and ancillary knowledge area. In addition to introducing students to statistical topics using real data, the book provides a gentle introduction to coding, having the students use the statistical language and software R. Students learn to load data, calculate summary statistics, create graphs and do statistical inference using R with either Windows or Macintosh machines. Features real-data to give students an engaging practice to connect with their areas of interest Evolves from basic problems that can be worked by hand to the elementary use of opensource R software Offers a direct, clear approach highlighted by useful visuals and examples

Bosnian Genocide

Author: Paul R. Bartrop

Publisher: Bloomsbury Publishing USA

Published: 2016-01-18

Total Pages: 683

ISBN-13:

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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.

Doing Meta-Analysis with R

Author: Mathias Harrer

Publisher: CRC Press

Published: 2021-09-15

Total Pages: 500

ISBN-13: 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

Reference Guide for Essential Oils

Author: Connie Higley

Publisher: Abundant Health

Published: 1998

Total Pages: 591

ISBN-13: 097065832X

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