An Introduction To R
DOWNLOAD
Download An Introduction To R PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get An Introduction To R book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
An Introduction To R
DOWNLOAD
Author : William N. Venables
language : en
Publisher: Network Theory.
Release Date : 2009
An Introduction To R written by William N. Venables and has been published by Network Theory. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computers categories.
This tutorial manual provides an introduction to R, a software package for statistical computing and graphics. This revised and updated edition is based on the April 2009 release of R (version 2.9.0).
An Introduction To R
DOWNLOAD
Author : William N. Venables
language : en
Publisher: Network Theory.
Release Date : 2002
An Introduction To R written by William N. Venables and has been published by Network Theory. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.
Provides a tutorial guide to GNU R, a software environment for statistical computing and graphics.
Introduction R Programming Professional Level
DOWNLOAD
Author : CPA John Kimani
language : en
Publisher: Finstock Evarsity Publishers
Release Date : 2023-07-16
Introduction R Programming Professional Level written by CPA John Kimani and has been published by Finstock Evarsity Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-16 with Computers categories.
• Introduction to R Programming • Data Manipulation and Cleaning • Data Visualization • Statistical Analysis in R • Introduction to Machine Learning Concepts and Techniques • Advanced Data Manipulation and Analysis • Customizing Visualizations with Themes and Layouts • Collaborative Research and Reproducible Analysis
An Introduction To R
DOWNLOAD
Author : William N. Venables
language : en
Publisher:
Release Date : 2018
An Introduction To R written by William N. Venables and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with R (Computer program language) categories.
Getting Started With R
DOWNLOAD
Author : Andrew P. Beckerman
language : en
Publisher: Oxford University Press
Release Date : 2012-05-24
Getting Started With R written by Andrew P. Beckerman and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-24 with Computers categories.
R is rapidly becoming the standard computational environment for analysis, graphical presentations and programming in the biological sciences. This book details how to start doing statistics in R or how to integrate the use of R with an existing research programme and how to achieve this efficiently and reliably.
Computational Statistics
DOWNLOAD
Author : Günther Sawitzki
language : en
Publisher: CRC Press
Release Date : 2009-01-26
Computational Statistics written by Günther Sawitzki and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-26 with Mathematics categories.
Suitable for a compact course or self-study, Computational Statistics: An Introduction to R illustrates how to use the freely available R software package for data analysis, statistical programming, and graphics. Integrating R code and examples throughout, the text only requires basic knowledge of statistics and computing. This introduction covers one-sample analysis and distribution diagnostics, regression, two-sample problems and comparison of distributions, and multivariate analysis. It uses a range of examples to demonstrate how R can be employed to tackle statistical problems. In addition, the handy appendix includes a collection of R language elements and functions, serving as a quick reference and starting point to access the rich information that comes bundled with R. Accessible to a broad audience, this book explores key topics in data analysis, regression, statistical distributions, and multivariate statistics. Full of examples and with a color insert, it helps readers become familiar with R.
Instant R
DOWNLOAD
Author : Sarah Stowell
language : en
Publisher:
Release Date : 2015-02
Instant R written by Sarah Stowell and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02 with R (Computer program language) categories.
Bayesian Computation With R
DOWNLOAD
Author : Jim Albert
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-04-20
Bayesian Computation With R written by Jim Albert and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-20 with Mathematics categories.
There has been dramatic growth in the development and application of Bayesian inference in statistics. Berger (2000) documents the increase in Bayesian activity by the number of published research articles, the number of books,andtheextensivenumberofapplicationsofBayesianarticlesinapplied disciplines such as science and engineering. One reason for the dramatic growth in Bayesian modeling is the availab- ity of computational algorithms to compute the range of integrals that are necessary in a Bayesian posterior analysis. Due to the speed of modern c- puters, it is now possible to use the Bayesian paradigm to ?t very complex models that cannot be ?t by alternative frequentist methods. To ?t Bayesian models, one needs a statistical computing environment. This environment should be such that one can: write short scripts to de?ne a Bayesian model use or write functions to summarize a posterior distribution use functions to simulate from the posterior distribution construct graphs to illustrate the posterior inference An environment that meets these requirements is the R system. R provides a wide range of functions for data manipulation, calculation, and graphical d- plays. Moreover, it includes a well-developed, simple programming language that users can extend by adding new functions. Many such extensions of the language in the form of packages are easily downloadable from the Comp- hensive R Archive Network (CRAN).
An Introduction To R
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2003
An Introduction To R written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.
Stochastic Geometry For Wireless Networks
DOWNLOAD
Author : Martin Haenggi
language : en
Publisher: Cambridge University Press
Release Date : 2012-10-18
Stochastic Geometry For Wireless Networks written by Martin Haenggi and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-18 with Technology & Engineering categories.
Covering point process theory, random geometric graphs and coverage processes, this rigorous introduction to stochastic geometry will enable you to obtain powerful, general estimates and bounds of wireless network performance and make good design choices for future wireless architectures and protocols that efficiently manage interference effects. Practical engineering applications are integrated with mathematical theory, with an understanding of probability the only prerequisite. At the same time, stochastic geometry is connected to percolation theory and the theory of random geometric graphs and accompanied by a brief introduction to the R statistical computing language. Combining theory and hands-on analytical techniques with practical examples and exercises, this is a comprehensive guide to the spatial stochastic models essential for modelling and analysis of wireless network performance.