
Eines der besten Statistikbücher für R, die es gibt

Ich verwende dieses Buch, um Studierenden an einer Universität Statistik beizubringen. Es macht wirklich viel Spaß mit diesem Buch zu arbeiten und findet auf einem guten Niveau statt. Wenn meine Kollegen mit Statistikfragen zu mir kommen, schaue ich meist direkt ins Buch und zeige ihnen den Text. Ich kann es jedem empfehlen, der... Ich verwende dieses Buch, um Studierenden an einer Universität Statistik beizubringen. Es macht wirklich viel Spaß mit diesem Buch zu arbeiten und findet auf einem guten Niveau statt. Wenn meine Kollegen mit Statistikfragen zu mir kommen, schaue ich meist direkt ins Buch und zeige ihnen den Text. Ich kann es jedem empfehlen, der einen Rumdumblick von statistischem Wissen benötigt  das steht alles hier drin.
Discovering Statistics Using R

Buch (Taschenbuch, Englisch)

Fr. 119.90

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Beschreibung
Lecturers  request an einspection copy of this text or contact your local SAGE representative to discuss your course needs.
Watch Andy Field's introductory video to Discovering Statistics Using R
Keeping the uniquely humorous and selfdeprecating style that has made students across the world fall in love with Andy Field's books, Discovering Statistics Using R takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences throughout the world.
The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). You will then stride confidently into intermediate level analyses such as ANOVA, before ending your journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help you gain the necessary conceptual understanding of what you're doing, the emphasis is on applying what you learn to playful and realworld examples that should make the experience more fun than you might expect.
Like its sister textbooks, Discovering Statistics Using R is written in an irreverent style and follows the same groundbreaking structure and pedagogical approach. The core material is augmented by a cast of characters to help the reader on their way, together with hundreds of examples, selfassessment tests to consolidate knowledge, and additional website material for those wanting to learn more.
Given this book's accessibility, fun spirit, and use of bizarre realworld research it should be essential for anyone wanting to learn about statistics using the freelyavailable R software.
Available with Perusall  an eBook that makes it easier to prepare for class
Perusall is an awardwinning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more .
In statistics, R is the way of the future. The big boys and girls have known this for some time: There are now millions of R users in academia and industry. R is free (as in no cost) and free (as in speech). Andy, Jeremy, and Zoe's book now makes R accessible to the little boys and girls like me and my students. Soon all classes in statistics will be taught in R.
I have been teaching R to psychologists for several years and so I have been waiting for this book for some time. The book is excellent, and it is now the course text for all my statistics classes. I'm pretty sure the book provides all you need to go from statistical novice to working researcher.
Take, for example, the chapter on ttests. The chapter explains how to compare the means of two groups from scratch. It explains the logic behind the tests, it explains how to do the tests in R with a complete worked example, which papers to read in the unlikely event you do need to go further, and it explains what you need to write in your practical report or paper. But it also goes further, and explains how ttests and regression are relatedand are really the same thingas part of the general linear model. So this book offers not just the stepbystep guidance needed to complete a particular test, but it also offers the chance to reach the zen state of total statistical understanding.
Prof. Neil Stewart
Warwick University
Field's Discovering Statistics is popular with students for making a sometimes deemed inaccessible topic accessible, in a fun way. In Discovering Statistics Using R, the authors have managed to do this using a statistics package that is known to be powerful, but sometimes deemed just as inaccessible to the uninitiated, all the while staying true to Field's offkilter approach.
Dr Marcel van Egmond
University of Amsterdam
Probably the wittiest and most amusing of the lot (no, really), this book takes yet another approach: it is 958 pages of Rbased stats wisdom (plus online accoutrements)... A thoroughly engaging, expansive, thoughtful and complete guide to modern statistics. Selfdeprecating stories lighten the tone, and the undergradorientated 'stupid faces' (Brian Haemorrhage, Jane Superbrain, Oliver Twisted, etc.) soon stop feeling like a gimmick, and help to break up the text with useful snippets of stats wisdom. It is very mch a student textbook but it is brilliant... Field et al. is the complete package.
David M. Shuker
AnimJournal of Animal Behaviour
"This work should be in the library of every institution where statistics is taught. It contains much more content than what is required for a beginning or advanced undergraduate course, but instructors for such courses would do well to consider this book; it is priced comparably to books which contain only basic material, and students who are fascinated by the subject may find the additional material a real bonus. The book would also be very good for selfstudy. Overall, an excellent resource."
Produktdetails
Einband  Taschenbuch 

Seitenzahl  992 
Erscheinungsdatum  01.04.2012 
Sprache  Englisch 
ISBN  9781446200469 
Verlag  Sage Publications 

Maße (L/B/H)  26.4/19.7/5 cm 
Gewicht  2257 g 
Abbildungen  schwarzweisse Abbildungen, Tabellen, Diagramme 
Verkaufsrang  8076 