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Data Analysis and Graphics Using R

2006-12-26 Computers
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Release : 2006-12-26
Genre : Computers
Kind : eBook
Book Rating : 168/5 ( reviews)

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Book Synopsis Data Analysis and Graphics Using R by : John Maindonald

Download or read book Data Analysis and Graphics Using R written by John Maindonald. This book was released on 2006-12-26. Available in PDF, EPUB and Kindle. Book excerpt: Join the revolution ignited by the ground-breaking R system! Starting with an introduction to R, covering standard regression methods, then presenting more advanced topics, this book guides users through the practical and powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display and interpretation of data. The many worked examples, taken from real-world research, are accompanied by commentary on what is done and why. A website provides computer code and data sets, allowing readers to reproduce all analyses. Updates and solutions to selected exercises are also available. Assuming only basic statistical knowledge, the book is ideal for research scientists, final-year undergraduate or graduate level students of applied statistics, and practising statisticians. It is both for learning and for reference. This revised edition reflects changes in R since 2003 and has new material on survival analysis, random coefficient models, and the handling of high-dimensional data.

Data Analysis and Graphics Using R

2006-12-26 Computers
Download Data Analysis and Graphics Using R PDF Online Free

Author :
Release : 2006-12-26
Genre : Computers
Kind : eBook
Book Rating : 536/5 ( reviews)

GET EBOOK


Book Synopsis Data Analysis and Graphics Using R by : John Maindonald

Download or read book Data Analysis and Graphics Using R written by John Maindonald. This book was released on 2006-12-26. Available in PDF, EPUB and Kindle. Book excerpt: Join the revolution ignited by the ground-breaking R system! Starting with an introduction to R, covering standard regression methods, then presenting more advanced topics, this book guides users through the practical and powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display and interpretation of data. The many worked examples, taken from real-world research, are accompanied by commentary on what is done and why. A website provides computer code and data sets, allowing readers to reproduce all analyses. Updates and solutions to selected exercises are also available. Assuming only basic statistical knowledge, the book is ideal for research scientists, final-year undergraduate or graduate level students of applied statistics, and practising statisticians. It is both for learning and for reference. This revised edition reflects changes in R since 2003 and has new material on survival analysis, random coefficient models, and the handling of high-dimensional data.

Graphical Data Analysis with R

2015-03-25 Mathematics
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Release : 2015-03-25
Genre : Mathematics
Kind : eBook
Book Rating : 249/5 ( reviews)

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Book Synopsis Graphical Data Analysis with R by : Antony Unwin

Download or read book Graphical Data Analysis with R written by Antony Unwin. This book was released on 2015-03-25. Available in PDF, EPUB and Kindle. Book excerpt: 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 in Action

2015-03-03 Computers
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Release : 2015-03-03
Genre : Computers
Kind : eBook
Book Rating : 388/5 ( reviews)

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Book Synopsis R in Action by : Robert Kabacoff

Download or read book R in Action written by Robert Kabacoff. This book was released on 2015-03-03. Available in PDF, EPUB and Kindle. Book excerpt: R is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data. R in Action, Second Edition is a language tutorial focused on practical problems. Written by a research methodologist, it takes a direct and modular approach to quickly give readers the information they need to produce useful results. Focusing on realistic data analyses and a comprehensive integration of graphics, it follows the steps that real data analysts use to acquire their data, get it into shape, analyze it, and produce meaningful results that they can provide to clients. Purchase of the print book comes with an offer of a free PDF eBook from Manning. Also available is all code from the book.

Using R and RStudio for Data Management, Statistical Analysis, and Graphics

2015-03-10 Mathematics
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Release : 2015-03-10
Genre : Mathematics
Kind : eBook
Book Rating : 377/5 ( reviews)

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Book Synopsis Using R and RStudio for Data Management, Statistical Analysis, and Graphics by : Nicholas J. Horton

Download or read book Using R and RStudio for Data Management, Statistical Analysis, and Graphics written by Nicholas J. Horton. This book was released on 2015-03-10. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the aspects of R most often used by statistical analysts. Incorporating the use of RStudio and the latest R packages, this second edition offers new chapters on simulation, special topics, and case studies. It reorganizes and enhances the chapters on data input and output, data management, statistical and mathematical functions, programming, high-level graphics plots, and the customization of plots. It also provides a detailed discussion of the philosophy and use of the knitr and markdown packages for R.

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