DATA ANALYSIS AND GRAPHICS USING R CAMBRIDGE SERIES IN STATISTICAL AND PROBABILISTIC MATHEMATICS 10

Download Data Analysis And Graphics Using R Cambridge Series In Statistical And Probabilistic Mathematics 10 ebook PDF or Read Online books in PDF, EPUB, and Mobi Format. Click Download or Read Online button to DATA ANALYSIS AND GRAPHICS USING R CAMBRIDGE SERIES IN STATISTICAL AND PROBABILISTIC MATHEMATICS 10 book pdf for free now.

Data Analysis And Graphics Using R

Author : John Maindonald
ISBN : 9781139486675
Genre : Computers
File Size : 51.88 MB
Format : PDF, Docs
Download : 474
Read : 1013

Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from real-world research, are accompanied by commentary on what is done and why. The companion website has code and datasets, allowing readers to reproduce all analyses, along with solutions to selected exercises and updates. Assuming basic statistical knowledge and some experience with data analysis (but not R), 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 third edition expands upon topics such as Bayesian inference for regression, errors in variables, generalized linear mixed models, and random forests.
Category: Computers

Graphics For Statistics And Data Analysis With R

Author : Kevin J. Keen
ISBN : 9780429632211
Genre : Mathematics
File Size : 50.57 MB
Format : PDF, Mobi
Download : 509
Read : 648

Praise for the First Edition "The main strength of this book is that it provides a unified framework of graphical tools for data analysis, especially for univariate and low-dimensional multivariate data. In addition, it is clearly written in plain language and the inclusion of R code is particularly useful to assist readers’ understanding of the graphical techniques discussed in the book. ... It not only summarises graphical techniques, but it also serves as a practical reference for researchers and graduate students with an interest in data display." -Han Lin Shang,?Journal of Applied Statistics Graphics for Statistics and Data Analysis with R, Second Edition, presents the basic principles of graphical design and applies these principles to engaging examples using the graphics and lattice packages in R. It offers a wide array of modern graphical displays for data visualization and representation. Added in the second edition are coverage of the ggplot2 graphics package, material on human visualization and color rendering in R, on screen, and in print. Features Emphasizes the fundamentals of statistical graphics and best practice guidelines for producing and choosing among graphical displays in R Presents technical details on topics such as: the estimation of quantiles, nonparametric and parametric density estimation; diagnostic plots for the simple linear regression model; polynomial regression, splines, and locally weighted polynomial regression for producing a smooth curve; Trellis graphics for multivariate data Provides downloadable R code and data for figures at www.graphicsforstatistics.com Kevin J. Keen is a Professor of Mathematics and Statistics at the University of Northern British Columbia (Prince George, Canada) and an Accredited Professional StatisticianTM by the Statistical Society of Canada and the American Statistical Association.
Category: Mathematics

Analysis Of Multivariate And High Dimensional Data

Author : Inge Koch
ISBN : 9780521887939
Genre : Business & Economics
File Size : 85.35 MB
Format : PDF, Docs
Download : 501
Read : 229

This modern approach integrates classical and contemporary methods, fusing theory and practice and bridging the gap to statistical learning.
Category: Business & Economics

R By Example

Author : Jim Albert
ISBN : 9781461413653
Genre : Mathematics
File Size : 31.33 MB
Format : PDF, Mobi
Download : 922
Read : 1064

R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, this book is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data and this book is intended to be a useful resource for learning how to implement these procedures in R.
Category: Mathematics

A First Course In Statistical Programming With R

Author : W. John Braun
ISBN : 9781316715246
Genre : Computers
File Size : 39.63 MB
Format : PDF
Download : 386
Read : 1245

This new color edition of Braun and Murdoch's bestselling textbook integrates use of the RStudio platform and adds discussion of newer graphics systems, extensive exploration of Markov chain Monte Carlo, expert advice on common error messages, motivating applications of matrix decompositions, and numerous new examples and exercises. This is the only introduction needed to start programming in R, the computing standard for analyzing data. Co-written by an R core team member and an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from the book's website. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis.
Category: Computers

Predictive Statistics

Author : Bertrand S. Clarke
ISBN : 9781107028289
Genre : Business & Economics
File Size : 72.39 MB
Format : PDF
Download : 400
Read : 707

A bold retooling of statistics to focus directly on predictive performance with traditional and contemporary data types and methodologies.
Category: Business & Economics

Analyzing Linguistic Data

Author : R. H. Baayen
ISBN : 9781139470735
Genre : Language Arts & Disciplines
File Size : 64.84 MB
Format : PDF, Kindle
Download : 741
Read : 606

Statistical analysis is a useful skill for linguists and psycholinguists, allowing them to understand the quantitative structure of their data. This textbook provides a straightforward introduction to the statistical analysis of language. Designed for linguists with a non-mathematical background, it clearly introduces the basic principles and methods of statistical analysis, using 'R', the leading computational statistics programme. The reader is guided step-by-step through a range of real data sets, allowing them to analyse acoustic data, construct grammatical trees for a variety of languages, quantify register variation in corpus linguistics, and measure experimental data using state-of-the-art models. The visualization of data plays a key role, both in the initial stages of data exploration and later on when the reader is encouraged to criticize various models. Containing over 40 exercises with model answers, this book will be welcomed by all linguists wishing to learn more about working with and presenting quantitative data.
Category: Language Arts & Disciplines

Regression For Categorical Data

Author : Gerhard Tutz
ISBN : 9781139499583
Genre : Mathematics
File Size : 69.34 MB
Format : PDF, ePub
Download : 339
Read : 456

This book introduces basic and advanced concepts of categorical regression with a focus on the structuring constituents of regression, including regularization techniques to structure predictors. In addition to standard methods such as the logit and probit model and extensions to multivariate settings, the author presents more recent developments in flexible and high-dimensional regression, which allow weakening of assumptions on the structuring of the predictor and yield fits that are closer to the data. A generalized linear model is used as a unifying framework whenever possible in particular parametric models that are treated within this framework. Many topics not normally included in books on categorical data analysis are treated here, such as nonparametric regression; selection of predictors by regularized estimation procedures; ternative models like the hurdle model and zero-inflated regression models for count data; and non-standard tree-based ensemble methods. The book is accompanied by an R package that contains data sets and code for all the examples.
Category: Mathematics

Bootstrap Methods And Their Application

Author : A. C. Davison
ISBN : 0521574714
Genre : Computers
File Size : 66.64 MB
Format : PDF, Kindle
Download : 853
Read : 621

This book gives a broad and up-to-date coverage of bootstrap methods, with numerous applied examples, developed in a coherent way with the necessary theoretical basis. Applications include stratified data; finite populations; censored and missing data; linear, nonlinear, and smooth regression models; classification; time series and spatial problems. Special features of the book include: extensive discussion of significance tests and confidence intervals; material on various diagnostic methods; and methods for efficient computation, including improved Monte Carlo simulation. Each chapter includes both practical and theoretical exercises. Included with the book is a disk of purpose-written S-Plus programs for implementing the methods described in the text. Computer algorithms are clearly described, and computer code is included on a 3-inch, 1.4M disk for use with IBM computers and compatible machines. Users must have the S-Plus computer application. Author resource page: http://statwww.epfl.ch/davison/BMA/
Category: Computers

A Beginner S Guide To R

Author : Alain Zuur
ISBN : 0387938370
Genre : Computers
File Size : 24.18 MB
Format : PDF, Docs
Download : 270
Read : 532

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.
Category: Computers