Download or read book Esempi di analisi dei dati in R written by Roberto Marazzato and published by Lulu.com. This book was released on 2017-11-13 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Questo testo è una raccolta di esercizi ed esempi, realizzati nel linguaggio di programmazione R, che vengono utilizzati nell'ambito del corso di Big Data and Analytics presso l'Università degli studi di Torino.
Download or read book Introduzione all Analisi dei dati con R written by Roberto Albano and published by Celid. This book was released on 2020-04-15 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Questo libro si rivolge agli studenti, soprattutto di corsi di laurea magistrali e dei dottorati, ma anche a studiosi e professionisti del campo delle scienze sociali che fanno ricorso alla data analysis sia nella ricerca di base sia in quella applicata. Le tecniche trattate, modelli di regressione (lineare e logistica) e modelli di analisi fattoriale (esplorativa e confermativa), sono presentate da un punto di vista teorico, semplificando al massimo ma senza rinunciare al rigore, facendo riferimento a problemi tipici in cui si imbatte chi fa ricerca sociale, soprattutto con dati di tipo survey. Completano la trattazione teorica diversi esempi applicativi e istruzioni per R, un importante software libero per l’analisi statistica dei dati oggi diffuso a livello internazionale nelle diverse comunità scientifiche.
Download or read book Analisi statistica dei dati con R written by Franco Crivellari and published by . This book was released on 2006 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
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 Data Analysis and Graphics Using R written by John Maindonald and published by Cambridge University Press. This book was released on 2003-08-04 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern statistical software systems provide sophisticated tools for researchers who need to manipulate and display their data. Using such systems requires training both in the software itself and in the statistical methods that it relies on. Concentrating on the freely available R system, this book demonstrates recently implemented approaches and methods in statistical analysis. The authors introduce elementary concepts in statistics through examples of real-world data analysis drawn from the authors' experience, both as teachers and as consultants. R code and data sets for all examples are available on the Internet. This emphasis on practical methodology combined with a tutorial approach makes the book accessible to anyone with a knowledge of undergraduate statistics, whether an upper-graduate student, a researcher, or a practising scientist or statistician. The methods demonstrated are suitable for use in a wide variety of disciplines, from social sciences to medicine, engineering and science.
Download or read book Discrete Data Analysis with R written by Michael Friendly and published by CRC Press. This book was released on 2015-12-16 with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Applied Treatment of Modern Graphical Methods for Analyzing Categorical DataDiscrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and frequency data. It explains how to use graphical meth
Download or read book Data Analysis with RStudio written by Franz Kronthaler and published by Springer Nature. This book was released on 2020-12-21 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of this text is to introduce RStudio to practitioners and students and enable them to use R in their everyday work. It is not a statistical textbook, the purpose is to transmit the joy of analyzing data with RStudio. Practitioners and students learn how RStudio can be installed and used, they learn to import data, write scripts and save working results. Furthermore, they learn to employ descriptive statistics and create graphics with RStudio. Additionally, it is shown how RStudio can be used to test hypotheses, run an analysis of variance and regressions. To deepen the learned content, tasks are included with the solutions provided at the end of the textbook. This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.
Download or read book R for Data Science written by Hadley Wickham. Garrett Grolemund and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Analyzing Compositional Data with R written by K. Gerald Van Den Boogaart and published by . This book was released on 2013-07-31 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data Analysis and Graphics Using R written by John Maindonald and published by . This book was released on 2007 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data Science Manuale Italiano Advanced Machine Learning e Deployment written by Mario A. B. Capurso and published by Mario Capurso. This book was released on 2023-09-08 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Questa opera segue il curriculum 2021 della Association for Computing Machinery per specialisti in Scienze dei Dati, con l’obiettivo di costituire un “Bignami” della Scienza ed Ingegneria dei Dati e facilitare il percorso di formazione personale a partire da competenze specialistiche in Informatica o Matematica o Statistica per un lettore di lingua madre italiana. Parte di una serie di testi, riepiloga prima di tutto la metodologia di lavoro standard CRISP DM utilizzata in questa opera e in progetti di Scienza dei Dati. Poichè questo testo utilizza Orange per gli aspetti applicativi, ne descrive l’installazione ed i widget. La fase di modellizzazione dei dati viene considerata nell’ottica dell’apprendimento automatico riepilogando i tipi di apprendimento automatico, i tipi di modelli, i tipi di problemi e i tipi di algoritmi. Sono descritti gli aspetti avanzati associati alla modellizzazione quali le funzioni di perdita e di ottimizzazione come la gradient descent, le tecniche per analizzare le prestazioni dei modelli come il Bootstrapping e la Cross Validation. Vengono analizzati gli scenari di deployment e le più comuni piattaforme, con esempi applicativi. Vengono proposti i meccanismi per automatizzare l’apprendimento automatico e per supportare l’interpretabilità dei modelli e dei risultati come Partial Dependence Plot, Permuted Feature Importance e altre. Gli esercizi sono descritti con Orange e Python con l’uso della libreria Keras/Tensorflow. Il testo è corredato di materiale di supporto ed è possibile scaricare gli esempi in Orange e i dati di prova.
Download or read book Frattura ed Integrit Strutturale Annals 2009 written by Aa.vv. and published by Gruppo Italiano Frattura. This book was released on 2010-01-01 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annals of the Italian Group of Fracture journal "Frattura ed Integrità Strutturale" (issues 7 - 10, 2009)
Download or read book New Statistical Developments in Data Science written by Alessandra Petrucci and published by Springer Nature. This book was released on 2019-08-20 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume collects the extended versions of papers presented at the SIS Conference “Statistics and Data Science: new challenges, new generations”, held in Florence, Italy on June 28-30, 2017. Highlighting the central role of statistics and data analysis methods in the era of Data Science, the contributions offer an essential overview of the latest developments in various areas of statistics research. The 35 contributions have been divided into six parts, each of which focuses on a core area contributing to “Data Science”. The book covers topics including strong statistical methodologies, Bayesian approaches, applications in population and social studies, studies in economics and finance, techniques of sample design and mathematical statistics. Though the book is mainly intended for researchers interested in the latest frontiers of Statistics and Data Analysis, it also offers valuable supplementary material for students of the disciplines dealt with here. Lastly, it will help Statisticians and Data Scientists recognize their counterparts’ fundamental role.
Download or read book Functional requirements for bibliographic records written by Mauro Guerrini and published by AIB. This book was released on 2000 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Frattura ed Integrit Strutturale Annals 2011 written by Francesco Iacoviello and published by Gruppo Italiano Frattura. This book was released on 2011-12-20 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Annali Di Chimica written by and published by . This book was released on 1957 with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt:
