Download or read online books in PDF, EPUB and Mobi Format. Click Download or Read Online button to get book now. This site is like a library, Use search box in the widget to get ebook that you want.

A Beginner s Guide to R

A Beginner s Guide to R Author Alain Zuur
ISBN-10 0387938370
Release 2009-06-24
Pages 220
Download Link Click Here

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.



A Beginner s Guide to R

A Beginner s Guide to R Author Alain Zuur
ISBN-10 0387939997
Release 2009-08-14
Pages 220
Download Link Click Here

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. “Its biggest advantage is that it aims only to teach R...It organizes R commands very efficiently, with much teaching guidance included. I would describe this book as being handy--it’s the kind of book that you want to keep in your jacket pocket or backpack all the time, ready for use, like a Swiss Army knife.” (Loveday Conquest, University of Washington) “Whilst several books focus on learning statistics in R..., the authors of this book fill a gap in the market by focusing on learning R whilst almost completely avoiding any statistical jargon...The fact that the authors have very extensive experience of teaching R to absolute beginners shines throughout.” (Mark Mainwaring, Lancaster University) “Exactly what is needed...This is great, nice work. I love the ecological/biological examples; they will be an enormous help.” (Andrew J. Tyne, University of Nebraska-Lincoln)



A Beginner s Guide to R

A Beginner s Guide to R Author Alain F. Zuur
ISBN-10 0387938362
Release 2009-07-01
Pages 218
Download Link Click Here

Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. 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.--[book cover]



Introductory R A Beginner s Guide to Data Visualisation Statistical Analysis and Programming in R

Introductory R  A Beginner s Guide to Data Visualisation  Statistical Analysis and Programming in R Author Robert Knell
ISBN-10 9780957597112
Release 2014-05-14
Pages 531
Download Link Click Here

R is now the most widely used statistical software in academic science and it is rapidly expanding into other fields such as finance. R is almost limitlessly flexible and powerful, hence its appeal, but can be very difficult for the novice user. There are no easy pull-down menus, error messages are often cryptic and simple tasks like importing your data or exporting a graph can be difficult and frustrating. Introductory R is written for the novice user who knows a little about statistics but who hasn't yet got to grips with the ways of R. This new edition is completely revised and greatly expanded with new chapters on the basics of descriptive statistics and statistical testing, considerably more information on statistics and six new chapters on programming in R. Topics covered include: A walkthrough of the basics of R's command line interface Data structures including vectors, matrices and data frames R functions and how to use them Expanding your analysis and plotting capacities with add-in R packages A set of simple rules to follow to make sure you import your data properly An introduction to the script editor and advice on workflow A detailed introduction to drawing publication-standard graphs in R How to understand the help files and how to deal with some of the most common errors that you might encounter. Basic descriptive statistics The theory behind statistical testing and how to interpret the output of statistical tests Thorough coverage of the basics of data analysis in R with chapters on using chi-squared tests, t-tests, correlation analysis, regression, ANOVA and general linear models What the assumptions behind the analyses mean and how to test them using diagnostic plots Explanations of the summary tables produced for statistical analyses such as regression and ANOVA Writing your own functions in R Using table operations to manipulate matrices and data frames Using conditional statements and loops in R programmes. Writing longer R programmes. The techniques of statistical analysis in R are illustrated by a series of chapters where experimental and survey data are analysed. There is a strong emphasis on using real data from real scientific research, with all the problems and uncertainty that implies, rather than well-behaved made-up data that give ideal and easy to analyse results.



R in Finance and Economics

R in Finance and Economics Author Abhay Kumar Singh
ISBN-10 9789813144484
Release 2016-12-14
Pages 264
Download Link Click Here

This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics. It is specifically targeted towards undergraduate and graduate students. It provides beginner-level introduction to R using RStudio and reproducible research examples. It will enable students to use R for data cleaning, data visualization and quantitative model building using statistical methods like linear regression, econometrics (GARCH etc), Copulas, etc. Moreover, the book demonstrates latest research methods with applications featuring linear regression, quantile regression, panel regression, econometrics, dependence modelling, etc. using a range of data sets and examples. Request Inspection Copy



Statistics with R

Statistics with R Author Robert Stinerock
ISBN-10 9781526421470
Release 2018-01-08
Pages 392
Download Link Click Here

The dynamic, student focused textbook provides step-by-step instruction in the use of R and of statistical language as a general research tool. It is ideal for anyone hoping to: Complete an introductory course in statistics Prepare for more advanced statistical courses Gain the transferable analytical skills needed to interpret research from across the social sciences Learn the technical skills needed to present data visually Acquire a basic competence in the use of R. The book provides readers with the conceptual foundation to use applied statistical methods in everyday research. Each statistical method is developed within the context of practical, real-world examples and is supported by carefully developed pedagogy and jargon-free definitions. Theory is introduced as an accessible and adaptable tool and is always contextualized within the pragmatic context of real research projects and definable research questions. Author Robert Stinerock has also created a wide range of online resources, including: R scripts, complete solutions for all exercises, data files for each chapter, video and screen casts, and interactive multiple-choice quizzes.



A Beginner s Guide to Generalized Additive Models with R

A Beginner s Guide to Generalized Additive Models with R Author Alain F. Zuur
ISBN-10 0957174128
Release 2012
Pages 188
Download Link Click Here

A Beginner's Guide to Generalized Additive Models with R is exclusively available from: www.highstat.com



A Beginner s Guide to Data Exploration and Visualisation with R

A Beginner s Guide to Data Exploration and Visualisation with R Author Elena N. Ieno
ISBN-10 OCLC:907238435
Release 2015
Pages 161
Download Link Click Here

A Beginner s Guide to Data Exploration and Visualisation with R has been writing in one form or another for most of life. You can find so many inspiration from A Beginner s Guide to Data Exploration and Visualisation with R also informative, and entertaining. Click DOWNLOAD or Read Online button to get full A Beginner s Guide to Data Exploration and Visualisation with R book for free.



A Beginner s Guide to GLM and GLMM with R

A Beginner s Guide to GLM and GLMM with R Author Alain F. Zuur
ISBN-10 0957174136
Release 2013
Pages 256
Download Link Click Here

This book presents Generalized Linear Models (GLM) and Generalized Linear Mixed Models (GLMM) based on both frequency-based and Bayesian concepts.



Statistical Analysis with R

Statistical Analysis with R Author John M. Quick
ISBN-10 9781849512091
Release 2010-10-26
Pages 300
Download Link Click Here

Take control of your data and produce superior statistical analysis with R.



The R Book

The R Book Author Michael J. Crawley
ISBN-10 9781118448960
Release 2012-11-07
Pages 1080
Download Link Click Here

Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research. This edition: Features full colour text and extensive graphics throughout. Introduces a clear structure with numbered section headings to help readers locate information more efficiently. Looks at the evolution of R over the past five years. Features a new chapter on Bayesian Analysis and Meta-Analysis. Presents a fully revised and updated bibliography and reference section. Is supported by an accompanying website allowing examples from the text to be run by the user. Praise for the first edition: ‘…if you are an R user or wannabe R user, this text is the one that should be on your shelf. The breadth of topics covered is unsurpassed when it comes to texts on data analysis in R.’ (The American Statistician, August 2008) ‘The High-level software language of R is setting standards in quantitative analysis. And now anybody can get to grips with it thanks to The R Book…’ (Professional Pensions, July 2007)



R

R Author Felix Alvaro
ISBN-10 1533685010
Release 2016-05-01
Pages 156
Download Link Click Here

Learn R Programming Today With This Easy, Step-By-Step Guide! Do you want to learn R Programming? Do you get overwhelmed by complicated lingo and want a guide that is easy to follow, detailed and written to make the process enjoyable? If so, "R: Easy R Programming for Beginners - Your Step-By-Step Guide To Learning R Programming" by Felix Alvaro is THE book for you! It covers the most essential topics you must learn to begin programming with R.With more than two million global users, the R language is rapidly turning into a top programming language specifically in the space of data science as well as statistics. What you are going to learn in this step-by-step beginner's guide is how to master the fundamentals of such a gorgeous open-source programming language which includes vectors, data frames and lists.Not only is the language growing in popularity, but the demand for R Programmers is also rising, with skilled programmers getting paid an average annual salary of $115,000 per year! What Separates This Book From The Rest? What separates this book from all the others out there is the approach to teaching. A lot of the books you will stumble upon simply throw information at you, leaving you confused and stuck.We believe that books of this nature should be easy to grasp and written in jargon-free English you can understand, making you feel confident and allowing you to grasp each topic with ease.To help you achieve this, the guide has been crafted in a step-by-step manner which we feel is the best way for you to learn a new subject, one step at a time. It also includes various images to give you assurance you are going in the right direction, as well as having exercises where you can proudly practice your newly attained skills. You Will Learn The Following: The history of R programming and its benefits How to install R & R Studio and work with code editors The fundamentals of R syntax Function & Arguments R Programming with user packages Organizing data in Vectors Working with Data-Frames and Matrices Creating Lists Effective coding in R Controlling Logical Flow Woking with base graphics Creating Facetted graphics using Lattice And much more! So don't delay it any longer. Take this opportunity and invest in this guide now. You will be amazed by the skills you will quickly attain! Buy This Guide Now! See you inside!



A Beginner s Guide to Generalised Additive Mixed Models with R

A Beginner s Guide to Generalised Additive Mixed Models with R Author Alain F. Zuur
ISBN-10 0957174152
Release 2014
Pages 332
Download Link Click Here

A Beginner s Guide to Generalised Additive Mixed Models with R has been writing in one form or another for most of life. You can find so many inspiration from A Beginner s Guide to Generalised Additive Mixed Models with R also informative, and entertaining. Click DOWNLOAD or Read Online button to get full A Beginner s Guide to Generalised Additive Mixed Models with R book for free.



R Statistical Application Development by Example Beginner s Guide

R Statistical Application Development by Example Beginner s Guide Author Prabhanjan Narayanachar Tattar
ISBN-10 9781849519458
Release 2013-01-01
Pages 344
Download Link Click Here

Full of screenshots and examples, this Beginner's Guide by Example will teach you practically everything you need to know about R statistical application development from scratch. You will begin learning the first concepts of statistics in R which is vital in this fast paced era and it is also a bargain as you do not need to do a preliminary course on the subject.



R For Dummies

R For Dummies Author Andrie de Vries
ISBN-10 9781119963134
Release 2012-06-06
Pages 408
Download Link Click Here

Master the programming language of choice among statisticians and data analysts worldwide Coming to grips with R can be tough, even for seasoned statisticians and data analysts. Enter R For Dummies, the quick, easy way to master all the R you'll ever need. Requiring no prior programming experience and packed with practical examples, easy, step-by-step exercises, and sample code, this extremely accessible guide is the ideal introduction to R for complete beginners. It also covers many concepts that intermediate-level programmers will find extremely useful. Master your R ABCs ? get up to speed in no time with the basics, from installing and configuring R to writing simple scripts and performing simultaneous calculations on many variables Put data in its place ? get to know your way around lists, data frames, and other R data structures while learning to interact with other programs, such as Microsoft Excel Make data dance to your tune ? learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and much more Visualize it ? learn to use R's powerful data visualization features to create beautiful and informative graphical presentations of your data Get statistical ? find out how to do simple statistical analysis, summarize your variables, and conduct classic statistical tests, such as t-tests Expand and customize R ? get the lowdown on how to find, install, and make the most of add-on packages created by the global R community for a wide variety of purposes Open the book and find: Help downloading, installing, and configuring R Tips for getting data in and out of R Ways to use data frames and lists to organize data How to manipulate and process data Advice on fitting regression models and ANOVA Helpful hints for working with graphics How to code in R What R mailing lists and forums can do for you



The Brain

The Brain Author Ammar al-Chalabi
ISBN-10 1851685944
Release 2008-02-25
Pages 192
Download Link Click Here

It has been remarked that if the brain were so simple we could understand it, we would be so simple we couldn’t. Commencing with a brief history of neuroscience, from the ancient practice of drilling holes in the head to relieve headaches to the latest results from MRI and CT scans, this accessible guide sets out to explore exactly what we do know about the brain. Including the most up-to-date research on the cerebral processes behind a wide array of human activity – from our capacity for language to how we remember – this lively and entertaining introduction assumes no previous scientific knowledge and offers a tantalizing glimpse into man’s most complex organ.



Particle Physics

Particle Physics Author B. R. Martin
ISBN-10 9781118681664
Release 2013-03-22
Pages 464
Download Link Click Here

An essential introduction to particle physics, with coverage ranging from the basics through to the very latest developments, in an accessible and carefully structured text. Particle Physics: Third Edition is a revision of a highly regarded introduction to particle physics. In its two previous editions this book has proved to be an accessible and balanced introduction to modern particle physics, suitable for those students needed a more comprehensive introduction to the subject than provided by the ‘compendium’ style physics books. In the Third Edition the standard model of particle physics is carefully developed whilst unnecessary mathematical formalism is avoided where possible. Emphasis is placed on the interpretation of experimental data in terms of the basic properties of quarks and leptons. One of the major developments of the past decade has been the establishing of the existence of neutrino oscillations. This will have a profound effect on the plans of experimentalists. This latest edition brings the text fully up-to-date, and includes new sections on neutrino physics, as well as expanded coverage of detectors, such as the LHC detector. End of chapter problems with a full set of hints for their solutions provided at the end of the book. An accessible and carefully structured introduction to this demanding subject. Includes more advanced material in optional ‘starred’ sections. Coverage of the foundations of the subject, as well as the very latest developments.