Primer to Analysis of Genomic Data Using R (Gondro Cedric)(Paperback)

Primer to Analysis of Genomic Data Using R (Gondro Cedric)(Paperback)

Through this book, researchers and students will learn to use R for analysis of large-scale genomic data and how to create routines to automate analytical steps. The philosophy behind the book is to start with real world raw datasets and perform all the analytical steps needed to reach final

Luminescence: Data Analysis and Modeling Using R (Pagonis Vasilis)(Paperback)

1. Introduction.- 2. Analysis and Modeling of TL Data.- 3. Analysis of Experimental OSL Data.- 4. Dose Response of Dosimetric Materials.- 5. Monte Carlo Simulations With Fixed Time Interval.- 6. Luminescence as a Stochastic Life-and-Death Process.- 7. Delocalized Transitions: The R Package

Applied Spatial Statistics and Econometrics: Data Analysis in R (Kopczewska Katarzyna)(Paperback)

This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcases key topics, including unsupervised learning, causal

Genomics of Rare Diseases: Understanding Disease Genetics Using Genomic Approaches (Gonzaga-Jauregui Claudia)(Paperback)

Genomics of Rare Diseases: Understanding Disease Genetics Using Genomic Approaches, a new volume in the Translational and Applied Genomics series, offers readers a broad understanding of current knowledge on rare diseases through a genomics lens. This clear understanding of the latest molecular and

Data Analysis with Mplus (Geiser Christian)(Paperback)

A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts. The author shows how to prepare a data set for import in Mplus using SPSS. He explains how to

Political Analysis Using R (Monogan III James E.)(Paperback)

Obtaining R and Downloading Packages.- Loading and Manipulating Data.- Visualizing Data.- Descriptive Statistics.- Basic Inferences.- Linear Models and Regression.- Diagnostics.- Generalized Linear Models.- Using Libraries to Apply Advanced Models.- Time Series Analysis.- Linear Algebra with

Data Analysis Using Stata, Third Edition (Kohler Ulrich)(Paperback)

Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource

Evolutionary Genetics: Concepts, Analysis, and Practice (Saetre Glenn-Peter)(Paperback)

With recent technological advances, vast quantities of genetic and genomic data are being generated at an ever-increasing pace. The explosion in access to data has transformed the field of evolutionary genetics. A thorough understanding of evolutionary principles is essential for making sense of

Data Analysis Using Regression and Multilevel Hierarchical Models (Gelman Andrew)(Paperback)

Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing

Data Analysis Using SQL and Excel (Linoff Gordon S.)(Paperback)

Die zweite Auflage von Data Analysis Using SQL and Excel zeigt, wie man diese beiden beliebten Werkzeuge der Datenabfrage und -analyse am besten nutzt, um anspruchsvolle Datenanalysen ohne komplexe, teuere Data-Mining-Tools einsetzen zu mussen. Sie lernen zunachst die grundlegenden statistischen

Multiple Regression: A Primer (Allison Paul D.)(Paperback)

Multiple regression is at the heart of social science data analysis, because it deals with explanations and correlations. This book is a complete introduction to this statistical method. This textbook is designed for the first social statistics course a student takes and, unlike other titles aimed

Think STATS: Exploratory Data Analysis (Downey Allen B.)(Paperback)

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single

An Introduction to Data Analysis (Bergin Tiffany)(Paperback)

Covering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a complete introduction to the fundamentals of data analysis. Using real-world case studies as illustrations, it helps readers understand theories behind and develop techniques

Analysis of Economic Data 4e (Koop Gary)(Paperback)

Analysis of Economic Data has, over three editions, become firmly established as a successful textbook for students studying data analysis whose primary interest is not in econometrics, statistics or mathematics. It introduces students to basic econometric techniques and shows the reader how to

Learning R: A Step-By-Step Function Guide to Data Analysis (Cotton Richard)(Paperback)

Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you'll learn how to use the essential R tools you need to know to analyze data, including data types and programming

Multivariate Data Analysis (Hair Joseph (University of South Alabama))(Paperback / softback)

Qualitative Data Analysis with NVivo (Jackson Kristi)(Paperback)

Engaging and accessible, this book offers students a complete guide to using NVivo for qualitative data analysis. Drawing on their wealth of expertise, the authors offer detailed, practical advice that relates to students' own experience and research projects. Packed with real-world examples and

Data Analysis for Continuous School Improvement (Bernhardt Victoria L.)(Paperback)

Data Analysis for Continuous School Improvement provides a new definition of school improvement, away from a singular focus on compliance, toward a true commitment to excellence. This book is a call to action. It is about inspiring schools and school districts to commit to continuous school

Graphical Data Analysis with R (Unwin Antony)(Pevná vazba)

See How Graphics Reveal InformationGraphical 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 datasets are available in R or one of its packages

Core Data Analysis: Summarization, Correlation, and Visualization (Mirkin Boris)(Paperback)

This text examines the goals of data analysis with respect to enhancing knowledge, and identifies data summarization and correlation analysis as the core issues. Data summarization, both quantitative and categorical, is treated within the encoder-decoder paradigm bringing forward a number of

Causal Inference in Statistics: A Primer (Pearl Judea)(Paperback)

CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause-effect relationships, we cannot use data to answer questions as basic as 'Does this treatment harm or help patients?' But though hundreds of introductory texts are

Object-Oriented Systems Analysis and Design Using UML (Bennett Simon)(Paperback)

The fourth edition of Object- Oriented Systems Analysis and Design has been revised and updated to reflect the most up-to-date approaches to information systems development. Still a best-seller in its field, Bennett's, McRobb's and Farmer's text remains a key teaching resource for Systems Analysis

Discovering Statistics Using R (Field Andy)(Paperback)

The R version of Andy Field′s hugely popular Discovering Statistics Using SPSS takes students on a journey of statistical discovery using the freeware R. Like its sister textbook, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and

Statistical Analysis with R for Dummies (Schmuller Joseph)(Paperback)

Understanding the world of R programming and analysis has never been easier Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to Statistical Analysis with R For Dummies, you have access to a trusted, easy-to-follow guide that focuses on the foundational