r graph cookbook

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R Graphics Cookbook

Author : Winston Chang
ISBN : 9781449316952
Genre : Computers
File Size : 37. 33 MB
Format : PDF, Mobi
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"Practical recipes for visualizing data"--Cover.

R Graphs Cookbook

Author : Hrishi V. Mittal
ISBN : 9781849513074
Genre : Computers
File Size : 53. 71 MB
Format : PDF, Docs
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With more than two million users worldwide, R is one of the most popular open source projects. It is a free and robust statistical programming environment with very powerful graphical capabilities. Analyzing and visualizing data with R is a necessary skill for anyone doing any kind of statistical analysis, and this book will help you do just that in the easiest and most efficient way possible. Unlike other books on R, this book takes a practical, hands-on approach and you dive straight into creating graphs in R right from the very first page. You want to harness the power of this open source programming language to visually present and analyze your data in the best way possible – and this book will show you how. The R Graph Cookbook takes a practical approach to teaching how to create effective and useful graphs using R. This practical guide begins by teaching you how to make basic graphs in R and progresses through subsequent dedicated chapters about each graph type in depth. It will demystify a lot of difficult and confusing R functions and parameters and enable you to construct and modify data graphics to suit your analysis, presentation, and publication needs. You will learn all about making graphics such as scatter plots, line graphs, bar charts, pie charts, dot plots, heat maps, histograms and box plots. In addition, there are detailed recipes on making various combinations and advanced versions of these graphs. Dedicated chapters on polishing and finalizing graphs will enable you to produce professional-quality graphs for presentation and publication. With R Graph Cookbook in hand, making graphs in R has never been easier.

R Graphs Cookbook Second Edition

Author : Jaynal Abedin
ISBN : 9781783988792
Genre : Computers
File Size : 30. 68 MB
Format : PDF, ePub
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Targeted at those with an existing familiarity with R programming, this practical guide will appeal directly to programmers interested in learning effective data visualization techniques with R and a wide-range of its associated libraries.

R Graphics Cookbook 2nd Edition

Author : Winston Chang
ISBN : 1491978597
Genre : R (Computer program language)
File Size : 71. 18 MB
Format : PDF, ePub, Docs
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The updated edition of this practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe works. Most of the recipes in this edition use the updated version of the ggplot2 package, a powerful and flexible way to make graphs in R. You’ll also find expanded content about the visual design of graphics. If you have a basic understanding of the R language, you’re ready to get started. With Early Release ebooks, you get books in their earliest form — the author's raw and unedited content as he or she writes — so you can take advantage of these technologies long before the official release of these titles. You'll also receive updates when significant changes are made, new chapters are available, and the final ebook bundle is released.

R Cookbook

Author : Paul Teetor
ISBN : 1449307264
Genre : Computers
File Size : 66. 43 MB
Format : PDF, ePub
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With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an experienced data programmer, it will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform other basic functions Input and output data Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals, and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data "Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language—one practical example at a time."—Jeffrey Ryan, software consultant and R package author

R Data Visualization Cookbook

Author : Atmajitsinh Gohil
ISBN : 9781783989515
Genre : Computers
File Size : 22. 68 MB
Format : PDF, Kindle
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If you are a data journalist, academician, student or freelance designer who wants to learn about data visualization, this book is for you. Basic knowledge of R programming is expected.

R Cookbook

Author : JD Long
ISBN : 9781492040637
Genre : Computers
File Size : 32. 82 MB
Format : PDF, ePub
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Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an intermediate user, this book will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform basic functions Simplify data input and output Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data

Modern R Programming Cookbook

Author : Jaynal Abedin
ISBN : 9781787288775
Genre : Computers
File Size : 50. 95 MB
Format : PDF, ePub
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Recipes for emerging developers in R programming and data scientists to simplify their R programming capabilities About This Book Develop strategies to speed up your R code Tackle programming problems and explore both functional and object-oriented programming techniques Learn how to address the core problems of programming in R with the most popular R packages for common tasks Who This Book Is For This book is for developers who would like to enhance the R programming skills. Basic knowledge of R programming is assumed. What You Will Learn Install R and its various IDE for a given platform along with installing libraries from different repositories and version control Learn about basic data structures in R and how to work with them Write customized R functions and handle recursions, exceptions in R environments Create the data processing task as a step by step computer program and execute using dplyr Extract and process unstructured text data Interact with database management system to develop statistical applications Formulate and implement parallel processing in R In Detail R is a powerful tool for statistics, graphics, and statistical programming. It is used by tens of thousands of people daily to perform serious statistical analyses. It is a free, open source system whose implementation is the collective accomplishment of many intelligent, hard-working people. There are more than 2,000 available add-ons, and R is a serious rival to all commercial statistical packages. The objective of this book is to show how to work with different programming aspects of R. The emerging R developers and data science could have very good programming knowledge but might have limited understanding about R syntax and semantics. Our book will be a platform develop practical solution out of real world problem in scalable fashion and with very good understanding. You will work with various versions of R libraries that are essential for scalable data science solutions. You will learn to work with Input / Output issues when working with relatively larger dataset. At the end of this book readers will also learn how to work with databases from within R and also what and how meta programming helps in developing applications. Style and approach This book will be a companion for R programmer and emerging developers in R programming areas. This book will contain recipes related to advanced R programming which will enable users to solve complex problems efficiently.

Clojure Data Analysis Cookbook Second Edition

Author : Eric Rochester
ISBN : 9781784399955
Genre : Computers
File Size : 29. 37 MB
Format : PDF, Mobi
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This book is for those with a basic knowledge of Clojure, who are looking to push the language to excel with data analysis.

25 Recipes For Getting Started With R

Author : Paul Teetor
ISBN : 9781449303860
Genre : Computers
File Size : 62. 84 MB
Format : PDF, ePub
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R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book provides beginners with a selection of how-to recipes to solve simple problems with R. Each solution gives you just what you need to know to use R for basic statistics, graphics, and regression. You'll find recipes on reading data files, creating data frames, computing basic statistics, testing means and correlations, creating a scatter plot, performing simple linear regression, and many more. These solutions were selected from O'Reilly's R Cookbook, which contains more than 200 recipes for R that you'll find useful once you move beyond the basics.

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