Beginning R

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Beginning R

Author : Mark Gardener
Publisher : John Wiley & Sons
ISBN 13 : 1118239377
Total Pages : 504 pages
Book Rating : 4.1/5 (182 download)

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Book Synopsis Beginning R by : Mark Gardener

Download or read book Beginning R written by Mark Gardener and published by John Wiley & Sons. This book was released on 2012-05-24 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conquer the complexities of this open source statistical language R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user-friendly context. Both students and workers in fields that require extensive statistical analysis will find this book helpful as they learn to use R for simple summary statistics, hypothesis testing, creating graphs, regression, and much more. It covers formula notation, complex statistics, manipulating data and extracting components, and rudimentary programming. R, the open source statistical language increasingly used to handle statistics and produces publication-quality graphs, is notoriously complex This book makes R easier to understand through the use of simple statistical examples, teaching the necessary elements in the context in which R is actually used Covers getting started with R and using it for simple summary statistics, hypothesis testing, and graphs Shows how to use R for formula notation, complex statistics, manipulating data, extracting components, and regression Provides beginning programming instruction for those who want to write their own scripts Beginning R offers anyone who needs to perform statistical analysis the information necessary to use R with confidence.

Beginning R

Author : Larry Pace
Publisher : Apress
ISBN 13 : 1484203739
Total Pages : 337 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Beginning R by : Larry Pace

Download or read book Beginning R written by Larry Pace and published by Apress. This book was released on 2015-10-23 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, read in data files, and write custom statistical functions as well as use built in functions. This book shows the use of R in specific cases such as one-way ANOVA analysis, linear and logistic regression, data visualization, parallel processing, bootstrapping, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done. It has been completely re-written since the first edition to make use of the latest packages and features in R version 3. R is a powerful open-source language and programming environment for statistics and has become the de facto standard for doing, teaching, and learning computational statistics. R is both an object-oriented language and a functional language that is easy to learn, easy to use, and completely free. A large community of dedicated R users and programmers provides an excellent source of R code, functions, and data sets, with a constantly evolving ecosystem of packages providing new functionality for data analysis. R has also become popular in commercial use at companies such as Microsoft, Google, and Oracle. Your investment in learning R is sure to pay off in the long term as R continues to grow into the go to language for data analysis and research. What You Will Learn: How to acquire and install R Hot to import and export data and scripts How to analyze data and generate graphics How to program in R to write custom functions Hot to use R for interactive statistical explorations How to conduct bootstrapping and other advanced techniques

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

Beginning Data Science in R

Author : Thomas Mailund
Publisher : Apress
ISBN 13 : 1484226712
Total Pages : 369 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Beginning Data Science in R by : Thomas Mailund

Download or read book Beginning Data Science in R written by Thomas Mailund and published by Apress. This book was released on 2017-03-09 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in R details how data science is a combination of statistics, computational science, and machine learning. You’ll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this. This book is based on a number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern data analysis requires computational skills and usually a minimum of programming. What You Will Learn Perform data science and analytics using statistics and the R programming language Visualize and explore data, including working with large data sets found in big data Build an R package Test and check your code Practice version control Profile and optimize your code Who This Book Is For Those with some data science or analytics background, but not necessarily experience with the R programming language.

Beginning R

Author : Larry Pace
Publisher : Apress
ISBN 13 : 1430245557
Total Pages : 322 pages
Book Rating : 4.4/5 (32 download)

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Book Synopsis Beginning R by : Larry Pace

Download or read book Beginning R written by Larry Pace and published by Apress. This book was released on 2012-11-28 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Beginning R: An Introduction to Statistical Programming is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions. R is a powerful open-source implementation of the statistical language S, which was developed by AT&T. R has eclipsed S and the commercially-available S-Plus language, and has become the de facto standard for doing, teaching, and learning computational statistics. R is both an object-oriented language and a functional language that is easy to learn, easy to use, and completely free. A large community of dedicated R users and programmers provides an excellent source of R code, functions, and data sets. R is also becoming adopted into commercial tools such as Oracle Database. Your investment in learning R is sure to pay off in the long term as R continues to grow into the go to language for statistical exploration and research. Covers the freely-available R language for statistics Shows the use of R in specific uses case such as simulations, discrete probability solutions, one-way ANOVA analysis, and more Takes a hands-on and example-based approach incorporating best practices with clear explanations of the statistics being done

A Beginner's Guide to R

Author : Alain Zuur
Publisher : Springer Science & Business Media
ISBN 13 : 0387938370
Total Pages : 228 pages
Book Rating : 4.3/5 (879 download)

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Book Synopsis A Beginner's Guide to R by : Alain Zuur

Download or read book A Beginner's Guide to R written by Alain Zuur and published by Springer Science & Business Media. This book was released on 2009-06-24 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics at the same time, statistical methods are kept to a minimum. The text covers how to download and install R, import and manage data, elementary plotting, an introduction to functions, advanced plotting, and common beginner mistakes. This book contains everything you need to know to get started with R.

Beginning Data Science with R

Author : Manas A. Pathak
Publisher : Springer
ISBN 13 : 3319120662
Total Pages : 157 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Beginning Data Science with R by : Manas A. Pathak

Download or read book Beginning Data Science with R written by Manas A. Pathak and published by Springer. This book was released on 2014-12-08 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: “We live in the age of data. In the last few years, the methodology of extracting insights from data or "data science" has emerged as a discipline in its own right. The R programming language has become one-stop solution for all types of data analysis. The growing popularity of R is due its statistical roots and a vast open source package library. The goal of “Beginning Data Science with R” is to introduce the readers to some of the useful data science techniques and their implementation with the R programming language. The book attempts to strike a balance between the how: specific processes and methodologies, and understanding the why: going over the intuition behind how a particular technique works, so that the reader can apply it to the problem at hand. This book will be useful for readers who are not familiar with statistics and the R programming language.

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.

"In the Beginning ..."

Author : John R. Rice
Publisher : Sword of the Lord Publishers
ISBN 13 : 9780873984034
Total Pages : 568 pages
Book Rating : 4.9/5 (84 download)

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Book Synopsis "In the Beginning ..." by : John R. Rice

Download or read book "In the Beginning ..." written by John R. Rice and published by Sword of the Lord Publishers. This book was released on 2000-08 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt:

R Markdown

Author : Yihui Xie
Publisher : CRC Press
ISBN 13 : 0429782969
Total Pages : 323 pages
Book Rating : 4.4/5 (297 download)

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Book Synopsis R Markdown by : Yihui Xie

Download or read book R Markdown written by Yihui Xie and published by CRC Press. This book was released on 2018-07-27 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: R Markdown: The Definitive Guide is the first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages. In this book, you will learn Basics: Syntax of Markdown and R code chunks, how to generate figures and tables, and how to use other computing languages Built-in output formats of R Markdown: PDF/HTML/Word/RTF/Markdown documents and ioslides/Slidy/Beamer/PowerPoint presentations Extensions and applications: Dashboards, Tufte handouts, xaringan/reveal.js presentations, websites, books, journal articles, and interactive tutorials Advanced topics: Parameterized reports, HTML widgets, document templates, custom output formats, and Shiny documents. Yihui Xie is a software engineer at RStudio. He has authored and co-authored several R packages, including knitr, rmarkdown, bookdown, blogdown, shiny, xaringan, and animation. He has published three other books, Dynamic Documents with R and knitr, bookdown: Authoring Books and Technical Documents with R Markdown, and blogdown: Creating Websites with R Markdown. J.J. Allaire is the founder of RStudio and the creator of the RStudio IDE. He is an author of several packages in the R Markdown ecosystem including rmarkdown, flexdashboard, learnr, and radix. Garrett Grolemund is the co-author of R for Data Science and author of Hands-On Programming with R. He wrote the lubridate R package and works for RStudio as an advocate who trains engineers to do data science with R and the Tidyverse.

Beginning R 4

Author : Matt Wiley
Publisher : Apress
ISBN 13 : 9781484260524
Total Pages : pages
Book Rating : 4.2/5 (65 download)

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Book Synopsis Beginning R 4 by : Matt Wiley

Download or read book Beginning R 4 written by Matt Wiley and published by Apress. This book was released on 2021-02-12 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R 4, write and save R scripts, read in data files, use built-in functions, and write custom statistical functions. This in-depth tutorial includes key R 4 features such as a new color palette for charts, an enhanced reference counting system, and normalization of matrix and array types where matrix objects will formally inherit from the array class, eliminating many inconsistencies. Each chapter starts with a list of learning outcomes and concludes with a summary of any R functions introduced in that chapter, a list of specific cited references for more reading, and some exercises to test your new knowledge. The text opens with a hands-on installation of R (and a limited number of packages) for both Windows and macOS. The bulk of the book is an introduction to statistical methods (a non-proof-based introduction) that relies heavily on R (and R visualizations) to understand, motivate, and perform statistical outcomes. Beginning R 4 shows the use of R in specific cases such as one-way ANOVA analysis, linear and logistic regression, data visualization, parallel processing, bootstrapping, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done. Additionally, the text comprehensively includes learning outcomes for Texas common course number Math 1342 (elementary statistical methods). What You Will Learn Acquire and install R Import and export data and scripts Analyze data and generate graphics Program in R to write custom functions Use R for interactive statistical explorations Conduct bootstrapping and other advanced techniques Who This Book Is For Programmers and data analysts who are new to R. Some prior experience in programming is recommended.

The Beginning After The End

Author : TurtleMe
Publisher : TurtleMe
ISBN 13 :
Total Pages : 878 pages
Book Rating : 4./5 ( download)

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Book Synopsis The Beginning After The End by : TurtleMe

Download or read book The Beginning After The End written by TurtleMe and published by TurtleMe. This book was released on 2021-03-19 with total page 878 pages. Available in PDF, EPUB and Kindle. Book excerpt: I had to accept that I wasn’t just Arthur Leywin anymore, and that I could no longer be limited by the circumstances of my birth. If I was going to escape, if I was going to go toe-to-toe with the most powerful beings in this world, I needed to push myself to my utmost limit...and then I needed to push even further. After nearly dying as a victim of his own strength, Arthur Leywin wakes to find himself far from the continent where he was born for the second time. Alone, broken, and with no way to tell his family he’s alive, Arthur must rebuild his strength to survive. As he ascends through an ancient dungeon filled with hostile beasts and devious trials, he discovers an ancient, absolute power - a power that will either ruin him or take him to new heights. But the dungeon won’t give up its knowledge easily. Before he can plunder its depths, Arthur must learn to untangle the threads of fate. He must band together with the unlikeliest of allies if he hopes to escape with his life.

Learning Statistics with R

Author : Daniel Navarro
Publisher : Lulu.com
ISBN 13 : 1326189727
Total Pages : 617 pages
Book Rating : 4.3/5 (261 download)

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Book Synopsis Learning Statistics with R by : Daniel Navarro

Download or read book Learning Statistics with R written by Daniel Navarro and published by Lulu.com. This book was released on 2013-01-13 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com

Doing Meta-Analysis with R

Author : Mathias Harrer
Publisher : CRC Press
ISBN 13 : 1000435636
Total Pages : 500 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Doing Meta-Analysis with R by : Mathias Harrer

Download or read book Doing Meta-Analysis with R written by Mathias Harrer and published by CRC Press. This book was released on 2021-09-15 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Haskell from the Very Beginning

Author : John Whitington
Publisher : Coherent Press
ISBN 13 : 095767113X
Total Pages : 214 pages
Book Rating : 4.9/5 (576 download)

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Book Synopsis Haskell from the Very Beginning by : John Whitington

Download or read book Haskell from the Very Beginning written by John Whitington and published by Coherent Press. This book was released on 2019-09-30 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Haskell from the Very Beginning John Whitington takes a no-prerequisites approach to teaching the basics of a modern general-purpose programming language. Each small, self-contained chapter introduces a new topic, building until the reader can write quite substantial programs. There are plenty of questions and, crucially, worked answers and hints. Haskell from the Very Beginning will appeal both to new programmers, and to experienced programmers eager to explore functional languages such as Haskell. It is suitable both for formal use within an undergraduate or graduate curriculum, and for the interested amateur.

Genesis

Author : R. Kent Hughes
Publisher : Crossway
ISBN 13 : 1433517329
Total Pages : 706 pages
Book Rating : 4.4/5 (335 download)

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Book Synopsis Genesis by : R. Kent Hughes

Download or read book Genesis written by R. Kent Hughes and published by Crossway. This book was released on 2004-10-26 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book of Genesis contains some of the most beautiful and well-known stories in the Bible: the garden, the flood, the tower of Babel, and the lives of the patriarchs. But these are more than just good stories. They lay the groundwork for God's relationship with humanity and for his plan for our salvation, making Genesis foundational to understanding everything else that happens in the Bible. Genesis reveals much about human nature and the nature of God. From the actions of the first man and woman, we see where our rebellious, sinful nature originates. And through the whole book we see the hand of a sovereign God who is loving and merciful, but also just and holy. Time and again in Genesis, God showers his grace upon undeserving humanity, giving us our first tastes of God's enduring faithfulness that shines throughout the entire Bible. R. Kent Hughes, respected pastor and author of many other commentaries in the Preaching the Word series, takes readers back to the beginning of the Bible and moves through Genesis with careful exegesis. He explores the superbly crafted structure of the book as well as the weighty themes it contains. For those who preach, teach, and study God's Word, this exceptionally detailed work will reveal much about the beginnings of God's great story. Part of the Preaching the Word series.

When the Stars Begin to Fall

Author : Theodore R. Johnson
Publisher : Atlantic Monthly Press
ISBN 13 : 0802157874
Total Pages : 333 pages
Book Rating : 4.8/5 (21 download)

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Book Synopsis When the Stars Begin to Fall by : Theodore R. Johnson

Download or read book When the Stars Begin to Fall written by Theodore R. Johnson and published by Atlantic Monthly Press. This book was released on 2021-05-04 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: A “persuasive . . . heartfelt and vividly written” call to counter systemic racism and build national solidarity in America (Publishers Weekly). The American Promise enshrined in our Constitution states that all men and women are inherently equal. And yet racism continues to corrode our society. If we cannot overcome it, Theodore Johnson argues, the promise that made America unique on Earth will have died. In When the Stars Begin to Fall, Johnson presents a compelling blueprint for the kind of national solidarity necessary to mitigate racism. Weaving together history, personal memories, and his family’s multi-generational experiences with racism, Johnson posits that solutions can be found in the exceptional citizenship long practiced in Black America. Understanding that racism is a structural crime of the state, he argues that overcoming it requires us to recognize that a color-conscious society—not a color-blind one—is the true fulfillment of the American Promise. Fueled by Johnson’s ultimate faith in the American project, grounded in his family’s longstanding optimism and his own military service, When the Stars Begin to Fall is an urgent call to undertake the process of overcoming what has long seemed intractable.