Analyzing Compositional Data with R
This book presents the statistical analysis of compositional data sets, i.e., data in percentages, proportions, concentrations, etc. The subject is covered from its grounding principles to the practical use in descriptive exploratory analysis, rob...
Analyzing Sensory Data with R
Choose the Proper Statistical Method for Your Sensory Data Issue Analyzing Sensory Data with R gives you the foundation to analyze and interpret sensory data. The book helps you find the most appropriate statistical method to tackle your sensory d...
Analyzing Qualitative Data with MAXQDA
This book presents strategies for analyzing qualitative and mixed methods data with MAXQDA software, and provides guidance on implementing a variety of research methods and approaches, e.g. grounded theory, discourse analysis and qualitative conte...
Analyzing Business Data with Excel
As one of the most widely used desktop applications ever created, Excel is familiar to just about everyone with a computer and a keyboard. Yet most of us don't know the full extent of what Excel can do, mostly because of its recent growth in power...
Analyzing Qualitative Data
This book tackles the challenges of how to make sense of qualitative data. It offers students and researchers a hands-on guide to the practicalities of coding, comparing data, and using computer-assisted qualitative data analysis. Lastly, Gibbs sh...
Analyzing Qualitative Data
The fully updated Second Edition presents systematic methods for analyzing qualitative data with clear and easy-to-understand steps. The first half is an overview of the basics, from choosing a topic to collecting data, and ...
Analyzing Qualitative Data
This book tackles the challenges of how to make sense of qualitative data. It offers students and researchers a hands-on guide to the practicalities of coding, comparing data, and using computer-assisted qualitative data analysis. Lastly, Gi...
Analyzing Qualitative Data
This major inter-disciplinary collection, edited by two of the best respected figures in the field, provides a superb general introduction to this subject. Chapters include discussions of fieldwork methodology, analyzing discourse, the advantages ...
Analyzing Quantitative Data
What basic knowledge and skills do novice researchers in social science require? How can students be helped to over-come `symbol phobia' or `figure blindness'? This generous and constantly insightful book is designed for social resear...
Analyzing Ecological Data
In practice, one has to apply a data exploration, check assumptions, validate the models, per haps apply a series of methods, and most importantly, interpret the results in terms of the underlying ecology and the ecological questions being investi...
Analyzing Qualitative Data
This major inter-disciplinary collection, edited by two of the best respected figures in the field, provides a superb general introduction to this subject. Chapters include discussions of fieldwork methodology, analyzing discourse, the advantages ...
Analyzing Visual Data
The book offers communication researchers some of the best recent work on qualitative inquiry in the human disciplines. . . . Published by Sage, the leading publisher of qualitative research in the social sciences today. . . . [The authors] presen...
Analyzing Ecological Data
In practice, one has to apply a data exploration, check assumptions, validate the models, per haps apply a series of methods, and most importantly, interpret the results in terms of the underlying ecology and the ecological questions being investi...
Analyzing Linguistic Data
Statistical analysis is a useful skill for linguists and psycholinguists, allowing them to understand the quantitative structure of their data. This textbook provides a straightforward introduction to the statistical analysis of language. Designed...
Compositional Data Analysis
It is difficult to imagine that the statistical analysis of compositional data has been a major issue of concern for more than 100 years. It is even more difficult to realize that so many statisticians and users of statistics are unaware of the pa...
Analyzing Dependent Data with Vine Copulas
This textbook provides a step-by-step introduction to the class of vine copulas, their statistical inference and applications. It focuses on statistical estimation and selection methods for vine copulas in data applications. These flexible copula ...
Analysing Quantitative Data
This innovative book provides a fresh take on quantitative data analysis within the social sciences. It presents variable-based and case-based approaches side-by-side encouraging you to learn a range of approaches and to understand which is the mo...
Analysing Economic Data
Covers the key issues required for students wishing to understand and analyse the core empirical issues in economics. It focuses on descriptive statistics, probability concepts and basic econometric techniques and has an accompanying website that ...
Graphing Data with R
Graphing Data with R
Data Manipulation with R
The R language provides a rich environment for working with data, especially data to be used for statistical modeling or graphics. Coupled with the large variety of easily available packages, it allows access to both well-established and experimen...
Data Analysis with R
Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you'll learn how to load data, assemble and disassemble data objects, navigate R's environment system, ...
Data Wrangling with R
This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information. D...
Data Visualisation with R
This book introduces readers to the fundamentals of creating presentation graphics using R, based on 111 detailed and complete scripts. It shows how bar and column charts, population pyramids, Lorenz curves, box plots, scatter plots, time series, ...
Data Mining with R
Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining. Providing an extensive update to the best-selling first edition, this new edition is divided into two parts. The f...
Analyzing Complex Survey Data
This book examines ways to analyze complex surveys, and focuses on the problems of weights and design effects. This new edition incorporates recent practice of analyzing complex survey data, introduces the new analytic approach for categorical dat...
Analyzing Social Science Data
In this novel and refreshing textbook, David de Vaus directs students to the core of data analysis. The book is an authoritative guide to the problems facing beginners in the field. Analyzing Social Science Data guides students in: problems ...
Data Mining and Business Analytics with R
Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the an...
Discrete Data Analysis with R
An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of...
Applied Compositional Data Analysis
This book presents the statistical analysis of compositional data using the log-ratio approach. It includes a wide range of classical and robust statistical methods adapted for compositional data analysis, such as supervised and unsupervised metho...
Analysing Seasonal Health Data
Seasonal patterns have been found in a remarkable range of health conditions, including birth defects, respiratory infections and cardiovascular disease. Accurately estimating the size and timing of seasonal peaks in disease incidence is an aid to...
Multirem DAYCO 6PK1732S
Ribbantal: 6; Längd[mm]: 1732,0; Längd[mm]: 1732; Drivna aggregat: Generator, Luftkond.kompressor; Fordonsutrustningslinje/-variant: DAUB, EPDM3, DAUA, DAVA, DAUB , MC UYB, DAUB MC UYB, DAUA , MC UYB, DAUA MC UYB, DAVA , MC UYB, DAVA MC UYB, DAUB , MC UZB, DAUB , MC UZT, DAUA , MC UZB, DAUA , MC UZO, DAUA , MC UZI, DAVA , MC UZB, DAVA , MC UZI, DASA , MC UYB, DAWA , MC UYB, DAWA , MC UZB, DAWA MC UZI, DAWA , MC UZH, DAWA, DAVA MC UZI, DAUB , MC UYI, DAUA , MC UYI, DAVA , MC UYI, DASA MC UYJ, DAWA MC UYJ; för OE-nummer: 04L260849K; Motorkod: DAUB, DAUA, DAVA, DAWA
Practical Data Science with R
This invaluable addition to any data scientist's library shows you how to apply the R programming language and useful statistical techniques to everyday business situations as well as how to effectively present results to audiences of all le...
Statistics and Data with R
R, an Open Source software, has become the de facto statistical computing environment. It has an excellent collection of data manipulation and graphics capabilities. It is extensible and comes with a large number of packages that allow statistical...
Automated Data Collection with R
A hands on guide to web scraping and text mining for both beginners and experienced users of R Introduces fundamental concepts of the main architecture of the web and databases and covers HTTP, HTML, XML, JSON, SQL. Provides basic techniques to qu...
Functional Data Analysis with R
Emerging technologies generate data sets of increased size and complexity that require new or updated statistical inferential methods and scalable, reproducible software. These data sets often involve measurements of a continuous underlying proces...
Graphical Data Analysis with R
See How Graphics Reveal Information Graphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the...
Insights from Data with R
Insights from Data with R
Big Data Analytics with R
Utilize R to uncover hidden patterns in your Big Data About This Book * Perform computational analyses on Big Data to generate meaningful results * Get a practical knowledge of R programming language while working on Big Data platforms like Hadoop...
Panel Data Econometrics with R
Panel Data Econometrics with R provides a tutorial for using R in the field of panel data econometrics. Illustrated throughout with examples in econometrics, political science, agriculture and epidemiology, this book presents classic methodology a...