ggplot2 elegant graphics for data analysis use r

Download Book Ggplot2 Elegant Graphics For Data Analysis Use R in PDF format. You can Read Online Ggplot2 Elegant Graphics For Data Analysis Use R here in PDF, EPUB, Mobi or Docx formats.

Ggplot2

Author : Hadley Wickham
ISBN : 9783319242774
Genre : Computers
File Size : 73. 71 MB
Format : PDF, Docs
Download : 571
Read : 357

Download Now


This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio. ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered, with ease. With ggplot2, it's easy to: produce handsome, publication-quality plots with automatic legends created from the plot specification superimpose multiple layers (points, lines, maps, tiles, box plots) from different data sources with automatically adjusted common scales add customizable smoothers that use powerful modeling capabilities of R, such as loess, linear models, generalized additive models, and robust regression save any ggplot2 plot (or part thereof) for later modification or reuse create custom themes that capture in-house or journal style requirements and that can easily be applied to multiple plots approach a graph from a visual perspective, thinking about how each component of the data is represented on the final plot This book will be useful to everyone who has struggled with displaying data in an informative and attractive way. Some basic knowledge of R is necessary (e.g., importing data into R). ggplot2 is a mini-language specifically tailored for producing graphics, and you'll learn everything you need in the book. After reading this book you'll be able to produce graphics customized precisely for your problems, and you'll find it easy to get graphics out of your head and on to the screen or page.

Ggplot2

Author : Hadley Wickham
ISBN : 9780387981413
Genre : Computers
File Size : 53. 5 MB
Format : PDF
Download : 781
Read : 1153

Download Now


Provides both rich theory and powerful applications Figures are accompanied by code required to produce them Full color figures

Ggplot2

Author :
ISBN : 9780387981420
Genre :
File Size : 81. 29 MB
Format : PDF, Kindle
Download : 248
Read : 693

Download Now



The Grammar Of Graphics

Author : Leland Wilkinson
ISBN : 9781475731002
Genre : Computers
File Size : 84. 38 MB
Format : PDF, Docs
Download : 404
Read : 190

Download Now


Written for statisticians, computer scientists, geographers, research and applied scientists, and others interested in visualizing data, this book presents a unique foundation for producing almost every quantitative graphic found in scientific journals, newspapers, statistical packages, and data visualization systems. It was designed for a distributed computing environment, with special attention given to conserving computer code and system resources. While the tangible result of this work is a Java production graphics library, the text focuses on the deep structures involved in producing quantitative graphics from data. It investigates the rules that underlie pie charts, bar charts, scatterplots, function plots, maps, mosaics, and radar charts. These rules are abstracted from the work of Bertin, Cleveland, Kosslyn, MacEachren, Pinker, Tufte, Tukey, Tobler, and other theorists of quantitative graphics.

R Graphics Cookbook

Author : Winston Chang
ISBN : 9781449316952
Genre : Computers
File Size : 35. 86 MB
Format : PDF, ePub, Docs
Download : 914
Read : 325

Download Now


"Practical recipes for visualizing data"--Cover.

R For Data Science

Author : Hadley Wickham
ISBN : 9781491910368
Genre : Computers
File Size : 83. 89 MB
Format : PDF, Kindle
Download : 909
Read : 403

Download Now


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

Lattice

Author : Deepayan Sarkar
ISBN : 0387759697
Genre : Mathematics
File Size : 26. 85 MB
Format : PDF
Download : 615
Read : 1018

Download Now


Written by the author of the lattice system, this book describes lattice in considerable depth, beginning with the essentials and systematically delving into specific low levels details as necessary. No prior experience with lattice is required to read the book, although basic familiarity with R is assumed. The book contains close to 150 figures produced with lattice. Many of the examples emphasize principles of good graphical design; almost all use real data sets that are publicly available in various R packages. All code and figures in the book are also available online, along with supplementary material covering more advanced topics.

Interactive And Dynamic Graphics For Data Analysis

Author : Dianne Cook
ISBN : 9780387717616
Genre : Computers
File Size : 58. 61 MB
Format : PDF, ePub, Mobi
Download : 915
Read : 785

Download Now


This book is about using interactive and dynamic plots on a computer screen as part of data exploration and modeling, both alone and as a partner with static graphics and non-graphical computational methods. The area of int- active and dynamic data visualization emerged within statistics as part of research on exploratory data analysis in the late 1960s, and it remains an active subject of research today, as its use in practice continues to grow. It now makes substantial contributions within computer science as well, as part of the growing ?elds of information visualization and data mining, especially visual data mining. The material in this book includes: • An introduction to data visualization, explaining how it di?ers from other types of visualization. • Adescriptionofourtoolboxofinteractiveanddynamicgraphicalmethods. • An approach for exploring missing values in data. • An explanation of the use of these tools in cluster analysis and supervised classi?cation. • An overview of additional material available on the web. • A description of the data used in the analyses and exercises. The book’s examples use the software R and GGobi. R (Ihaka & Gent- man 1996, RDevelopment CoreTeam2006) isafreesoftware environment for statistical computing and graphics; it is most often used from the command line, provides a wide variety of statistical methods, and includes high–quality staticgraphics.RaroseintheStatisticsDepartmentoftheUniversityofAu- land and is now developed and maintained by a global collaborative e?ort.

Graphical Data Analysis With R

Author : Antony Unwin
ISBN : 9781498786775
Genre : Mathematics
File Size : 53. 79 MB
Format : PDF, ePub, Docs
Download : 342
Read : 593

Download Now


See How Graphics Reveal Information Graphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the datasets are available in R or one of its packages and the R code is available at rosuda.org/GDA. Graphical data analysis is useful for data cleaning, exploring data structure, detecting outliers and unusual groups, identifying trends and clusters, spotting local patterns, evaluating modelling output, and presenting results. This book guides you in choosing graphics and understanding what information you can glean from them. It can be used as a primary text in a graphical data analysis course or as a supplement in a statistics course. Colour graphics are used throughout.

R Graphics Second Edition

Author : Paul Murrell
ISBN : 9781439831779
Genre : Computers
File Size : 26. 44 MB
Format : PDF, ePub, Docs
Download : 364
Read : 1091

Download Now


Extensively updated to reflect the evolution of statistics and computing, the second edition of the bestselling R Graphics comes complete with new packages and new examples. Paul Murrell, widely known as the leading expert on R graphics, has developed an in-depth resource that helps both neophyte and seasoned users master the intricacies of R graphics. New in the Second Edition Updated information on the core graphics engine, the traditional graphics system, the grid graphics system, and the lattice package A new chapter on the ggplot2 package New chapters on applications and extensions of R Graphics, including geographic maps, dynamic and interactive graphics, and node-and-edge graphs Organized into five parts, R Graphics covers both "traditional" and newer, R-specific graphics systems. The book reviews the graphics facilities of the R language and describes R’s powerful grid graphics system. It then covers the graphics engine, which represents a common set of fundamental graphics facilities, and provides a series of brief overviews of the major areas of application for R graphics and the major extensions of R graphics.

Top Download:

Best Books