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Initiation A La Statistique Avec R
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Book Synopsis Initiation à la statistique avec R by : Frédéric Bertrand
Download or read book Initiation à la statistique avec R written by Frédéric Bertrand and published by . This book was released on 2010-09-22 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Le logiciel R est devenu un standard dans le domaine de la statistique. Libre et gratuit, son enseignement s'est généralisé dans toutes les filières où les statistiques sont utilisées : sciences de la vie et de la Terre, études de santé, sciences économiques, finance, économétrie, géographie, sciences physiques... Cet ouvrage, issu d'une longue expérience de formation auprès de publics très variés, propose d'accompagner l'étudiant en Licence, en Masser ou en école d'ingénieur dans son apprentissage de la statistique avec R. Dans chaque chapitre, le lecteur trouvera : un cours détaillé ponctué de nombreux exemples et de rubriques méthodologiques ; des énoncés d'exercices répartis en deux catégories : des applications directes du cours et des problèmes plus sophistiqués permettant de généraliser les concepts ; une rubrique " Du mal à démarrer ? ". Pour les questions les plus difficiles, une indication est proposée afin d'aider l'étudiant à démarrer la résolution de l'exercice ou du problème ; les solutions détaillées des exercices et des problèmes.
Book Synopsis Initiation à la statistique avec R by : Frédéric Bertrand
Download or read book Initiation à la statistique avec R written by Frédéric Bertrand and published by . This book was released on 2018-09-12 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Issu d'une longue expérience de formation auprès de publics très variés, cet ouvrage accompagne l'étudiant en Licence, en Master ou en écoles d'ingénieurs dans son apprentissage de la statistique avec R. Dans chaque chapitre, le lecteur trouvera : - un cours détaillé ponctué de nombreux exemples et de rubriques méthodologiques ; - des exercices répartis en deux catégories : des applications directes du cours et des problèmes plus sophistiqués permettant de généraliser les concepts ; - une rubrique "Du mal à démarrer ?" . Pour les questions les plus difficiles, une indication est proposée afin d'aider à la résolution de l'exercice ou du problème ; - les solutions détaillées des exercices et des problèmes. Cette nouvelle édition enrichie est à jour des dernières évolutions du logiciel R. Les codes sont téléchargeables à partir de la page d'accueil du livre sur le site dunod. com
Book Synopsis Initiation à la statistique avec R by : Frederick Bertrand
Download or read book Initiation à la statistique avec R written by Frederick Bertrand and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Initiation à la statistique avec R - 4e éd. by : Myriam Maumy-Bertrand
Download or read book Initiation à la statistique avec R - 4e éd. written by Myriam Maumy-Bertrand and published by Dunod. This book was released on 2023-03-15 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: Issu d’une longue expérience de formation auprès de publics très variés, cet ouvrage accompagne l’étudiant en Licence, en Master ou en écoles d’ingénieurs dans son apprentissage de la statistique avec R. Dans chaque chapitre, le lecteur trouvera : • un cours détaillé ponctué de nombreux exemples et de rubriques méthodologiques ; • des exercices répartis en deux catégories : des applications directes du cours et des problèmes plus sophistiqués permettant de généraliser les concepts ; • une rubrique « Du mal à démarrer ? ». Pour les questions les plus difficiles, une indication est proposée afin d’aider à la résolution de l’exercice ou du problème ; • les solutions détaillées des exercices et des problèmes. Cette nouvelle édition enrichie est à jour des dernières évolutions du logiciel R. Les codes sont téléchargeables à partir de la page d’accueil du livre sur le site dunod.com
Book Synopsis Introductory Statistics with R by : Peter Dalgaard
Download or read book Introductory Statistics with R written by Peter Dalgaard and published by Springer Science & Business Media. This book was released on 2008-08-15 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.
Book Synopsis Computational Statistics by : Günther Sawitzki
Download or read book Computational Statistics written by Günther Sawitzki and published by CRC Press. This book was released on 2009-01-26 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Le logiciel R written by and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Introduction aux statistiques en sciences du langage by : Clara Solier
Download or read book Introduction aux statistiques en sciences du langage written by Clara Solier and published by Dunod. This book was released on 2023-10-18 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: Les sciences du langage (SDL) se situent à la croisée de plusieurs disciplines (psychologie, linguistique, orthophonie, psycholinguistique, neurosciences...) et nécessitent des connaissances théoriques et méthodologiques bien spécifiques. Cet ouvrage, qui introduit aux statistiques pour les SDL, est constitué de deux parties : la première partie décrit et explicite le traitement des données issues de l’oral et de l’écrit ; la seconde partie présente les différentes méthodes d'analyse statistique, qui sont illustrées par des exemples concrets en sciences du langage et font l’objet d’une démonstration “pas à pas” du logiciel R.
Book Synopsis Introduction to Statistics and Data Analysis by : Christian Heumann
Download or read book Introduction to Statistics and Data Analysis written by Christian Heumann and published by Springer. This book was released on 2017-01-26 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital. The text is primarily intended for undergraduate students in disciplines like business administration, the social sciences, medicine, politics, macroeconomics, etc. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R as well as supplementary material that will enable the reader to quickly adapt all methods to their own applications.
Book Synopsis R for Statistics by : Pierre-Andre Cornillon
Download or read book R for Statistics written by Pierre-Andre Cornillon and published by CRC Press. This book was released on 2012-03-21 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking world. Translated and updated, R for Statistics in
Download or read book R by Example written by Jim Albert and published by Springer Science & Business Media. This book was released on 2012-01-28 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Statistics in Environmental Sciences by : Valerie David
Download or read book Statistics in Environmental Sciences written by Valerie David and published by John Wiley & Sons. This book was released on 2019-08-09 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical tools are indispensable for the environmental sciences. They have become an integral part of the scientific process, from the development of the sampling plan to the obtainment of results. Statistics in Environmental Sciences provides the foundation for the interpretation of quantitative data (basic vocabulary, main laws of probabilities, etc.) and the thinking behind sampling and experimental methodology. It also introduces the principles of statistical tests such as decision theory and examines the key choices in statistical tests, while keeping the established objectives in mind. The book examines the most used statistics in the field of environmental sciences. Detailed descriptions based on concrete examples are given, as well as descriptions obtained through the use of the free software R (whose usage is also presented).
Download or read book Basic Statistics written by Tenko Raykov and published by Rowman & Littlefield. This book was released on 2013 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basic Statistics provides an accessible and comprehensive introduction to statistics using the free, state-of-the-art, powerful software program R. This book is designed to both introduce students to key concepts in statistics and to provide simple instructions for using R. This concise book: Teaches essential concepts in statistics, assuming little background knowledge on the part of the reader Introduces students to R with as few sub-commands as possible for ease of use Provides practical examples from the educational, behavioral, and social sciences With clear explanations of statistical processes and step-by-step commands in R, Basic Statistics will appeal to students and professionals across the social and behavioral sciences.
Book Synopsis Quantitative and Statistical Data in Education by : Michel Larini
Download or read book Quantitative and Statistical Data in Education written by Michel Larini and published by John Wiley & Sons. This book was released on 2018-10-25 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the possibility of giving more robustness to the classical methodologies of education sciences by adding a quantitative approach. The fundamentals of each approach and the reasons behind them are methodically analyzed, and both simple and advanced examples are given to demonstrate how to use them. Subsequently, this book can be used both as a course for the uninitiated and as an accompaniment for researchers who are already familiar with these concepts.
Book Synopsis Quantitative Social Science Data with R by : Brian J. Fogarty
Download or read book Quantitative Social Science Data with R written by Brian J. Fogarty and published by SAGE. This book was released on 2018-11-24 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: "One of the few books that provide an accessible introduction to quantitative data analysis with R. A particular strength of the text is the focus on ′real world′ examples which help students to understand why they are learning these methods." - Dr Roxanne Connelly, University of York Relevant, engaging, and packed with student-focused learning features, this book provides the step-by-step introduction to quantitative research and data every student needs. Gradually introducing applied statistics and R, it uses examples from across the social sciences to show you how to apply abstract statistical and methodological principles to your own work. At a student-friendly pace, it enables you to: - Understand and use quantitative data to answer questions - Approach surrounding ethical issues - Collect quantitative data - Manage, write about, and share the data effectively Supported by incredible digital resources with online tutorials, videos, datasets, and multiple choice questions, this book gives you not only the tools you need to understand statistics, quantitative data, and R software, but also the chance to practice and apply what you have learned.
Book Synopsis Analysis of Categorical Data with R by : Christopher R. Bilder
Download or read book Analysis of Categorical Data with R written by Christopher R. Bilder and published by CRC Press. This book was released on 2014-08-11 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn How to Properly Analyze Categorical Data Analysis of Categorical Data with R presents a modern account of categorical data analysis using the popular R software. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio and probability estimation. The authors give detailed advice and guidelines on which procedures to use and why to use them. The Use of R as Both a Data Analysis Method and a Learning Tool Requiring no prior experience with R, the text offers an introduction to the essential features and functions of R. It incorporates numerous examples from medicine, psychology, sports, ecology, and other areas, along with extensive R code and output. The authors use data simulation in R to help readers understand the underlying assumptions of a procedure and then to evaluate the procedure’s performance. They also present many graphical demonstrations of the features and properties of various analysis methods. Web Resource The data sets and R programs from each example are available at www.chrisbilder.com/categorical. The programs include code used to create every plot and piece of output. Many of these programs contain code to demonstrate additional features or to perform more detailed analyses than what is in the text. Designed to be used in tandem with the book, the website also uniquely provides videos of the authors teaching a course on the subject. These videos include live, in-class recordings, which instructors may find useful in a blended or flipped classroom setting. The videos are also suitable as a substitute for a short course.
Download or read book R For Dummies written by Andrie de Vries and published by John Wiley & Sons. This book was released on 2012-06-06 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
