Iene miene mutte: De een leeft. De ander sterft. Kies maar In the Woods: Dublin Murder Squad: 1. Francis de Sales. Laat niet los: Vijftien jaar geleden raakte Nap Dumas zijn broer kwijt. De geheimen van toen lijken nu pas boven water te komen. Mas Mierda! Mardy Grothe. The core material is. Like its sister textbook, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach.
The core material is enhanced by a cast of characters to help the reader on their way, hundreds of examples, selfassessment tests to consolidate knowledge, and additional website material for those wanting to learn more. Short-link Link Embed. Share from cover. Share from page:. Ask yourself: If you could have one single wish granted, what would it be? Not loaded yet? Try Again. The core material is augmented by a cast of characters to help the reader on their way, together with hundreds of examples, self-assessment 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 real-world research it should be essential for anyone wanting to learn about statistics using the freely-available R software. 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 t-tests. 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 t-tests and regression are relatedand are really the same thingas part of the general linear model. So this book offers not just the step-by-step guidance needed to complete a particular test, but it also offers the chance to reach the zen state of total statistical understanding. 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 off-kilter approach. Probably the wittiest and most amusing of the lot no, really , this book takes yet another approach: it is pages of R-based stats wisdom plus online accoutrements A thoroughly engaging, expansive, thoughtful and complete guide to modern statistics.
Self-deprecating stories lighten the tone, and the undergrad-orientated 'stupid faces' Brian Haemorrhage, Jane Superbrain, Oliver Twisted, etc. It is very mch a student textbook but it is brilliant Field et al. David M. Shuker AnimJournal of Animal Behaviour. 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 self-study. Overall, an excellent resource. The main strength of this book is that it presents a lot of information in an accessible, engaging and irreverent way.
The style is informal with interesting excursions into the history of statistics and psychology. There is reference to research papers which illustrate the methods explained, and are also very entertaining. The authors manage to pull off the Herculean task of teaching statistics through the medium of R All in all, an invaluable resource. This book will most certainly be adopted as the main course book. It covers the topics needed for my course rather comprehensive, with a closer look on the regression assumptions how to test them and what to do when they are violated as well as some extensions to ordinary OLS and logistic regression.
It could be a little lengthy sometimes, and it is not always very well structured. However, the combination of a well written textbook that also is helps the student to practically implement the knowledge in R makes it a book well worth adopting. And if that book had existed in a R-version, I might have adopted that one instead. However, the book at hand Field et. This textbook is easy-to-understand, and it is written in a humorous way.
It has all the information needed for an easy comprehension of statistical intricacies. As I'm sure you know, R does more sophisticated statistical techniques for free that mainstream packages do not and so is potentially useful to the doctoral students I teach and supervise.
Discovering Statistics using R is an excellent book to engage students in learning statistics using top of the line software. The content is presented in a clear and coherent way, and the exercises help reinforce and consolidate knowledge in quite a funny way.
It is great material for teaching and learning, but also a handy reference book for researchers. As an open source software and with a vast supporting community, R is increasingly adopted by researchers.
Discovering Statistics Using R allows a soft transition from other statistical softwares to this open source alternative.
This book covers the material we need, with plenty of exercises, accessible explanations. Most importantly, it describes and teaches the R statistics platform integrated with the rest of the text. Chapter One. Skip to main content. Resources to help you transition to teaching online Instructors : To support your transition to online learning, please see our resources and tools page whether you are teaching in the UK , or teaching outside of the UK.
Download flyer. Description Contents Resources Reviews Preview Lecturers - request an e-inspection 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 self-deprecating 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.
What will this chapter tell me?Like its sister textbook, Discovering Statistics Using R is written in an irreverent style. Discovering statistics using r pdf free core material dixcovering. Like its sister discovering statistics using r pdf free, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is enhanced by a cast of characters to help the reader on their way, hundreds of examples, selfassessment tests to consolidate knowledge, and additional website material for those wanting to learn more. Short-link Discovering statistics using r pdf free Embed. Share from cover. Share from page:. More magazines by this user. Close Flag as Inappropriate. You have already flagged this document. Thank you, for helping us keep this platform clean. The editors will have a look at it as soon as possible. Delete template? Cancel Delete. Cancel Overwrite Save. Don't wait! 1, Pages·· MB·6, Downloads·New!, fully incorporating IBM SPSS Statistics© version 25 and fascinating examples throughout. Discovering. ebook] Discovering Statistics Using R By Andy Field Jeremy Miles Zoe Field. Free Download: Discovering Statistics Using R,You find a ebook whose title ". Watch Andy Field's introductory video to Discovering Statistics Using R Statistics Using R takes students on a journey of statistical discovery using R, a free. Read "Discovering Statistics Using R" by Professor Andy Field available from Rakuten Kobo. Lecturers - request an e-inspection copy of this text or contact your. BeningISo - Read and download Andy Field's book Discovering Statistics Using R in PDF, EPub online. Free Discovering Statistics Using R book by. Author: Andy Field Discovering Statistics Using R ebook PDF uploady indo Discovering Statistics Using R ebook original ebook reader Discovering Statistics. 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. 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. Discover the world's research. 17+ million members; + million publications; k+ research projects. Join for free. Testing for homogeneity of variance. Effect Sizes for factorial repeated measures designs. Entering and exploring your data. Professor Mikael Vejdemo-Johansson. Going beyond the data. Author : R. Between groups or repeated measures? Critical Values of the chi-square Distribution. The authors manage to pull off the Herculean task of teaching statistics through the medium of R 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 real-world examples that should make the experience more fun than you might expect. The book covers the full range of statistical techniques likely to be needed to analyse the data from research projects, including elementary material like t--tests and chi--squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling. David M.