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bookdown Authoring Books and Technical Documents with R Markdown

bookdown Authoring Books and Technical Documents with R Markdown

bookdown: Authoring Books and Technical Documents with R Markdown presents a much easier way to write books and technical publications than traditional tools such as LaTeX and Word. The bookdown package inherits the simplicity of syntax and flexibility for data analysis from R Markdown and extends R Markdown for technical writing so that you can make better use of document elements such as figures tables equations theorems citations and references. Similar to LaTeX you can number and cross-reference these elements with bookdown. Your document can even include live examples so readers can interact with them while reading the book. The book can be rendered to multiple output formats including LaTeX/PDF HTML EPUB and Word thus making it easy to put your documents online. The style and theme of these output formats can be customized. We used books and R primarily for examples in this book but bookdown is not only for books or R. Most features introduced in this book also apply to other types of publications: journal papers reports dissertations course handouts study notes and even novels. You do not have to use R either. Other choices of computing languages include Python C C plus plus SQL Bash Stan JavaScript and so on although R is best supported. You can also leave out computing for example to write a fiction. This book itself is an example of publishing with bookdown and R Markdown and its source is fully available on GitHub. | bookdown Authoring Books and Technical Documents with R Markdown

GBP 89.99
1

CRC Standard Mathematical Tables and Formulas

CRC Standard Mathematical Tables and Formulas

Containing more than 6 000 entries CRC Standard Mathematical Tables and Formulas 33rd Edition continues to provide essential formulas tables figures and detailed descriptions. The newest edition of this popular series also features many diagrams group tables and integrals that are not available online. This edition also incorporates important topics such as max plus algebra financial options pseudospectra and proof methods. Newly updated topics reflecting new results include couple analogues radar and significant equations of mathematics. New features of the 33rd edition include: Larger trim size five new topics and topics which have been modified to update results Provides practical ready-to-use information and covers important topics that are unfamiliar to many readers such as visual proofs and sequences Includes hard-to-find and more complete information than found in the Internet such as table of conformal mappings and integral tables Adds descriptions of new functions: Lambert prolate spheroidal and Weierstrass Even though the book has been updated it retains the same successful format of previous editions in that material is still presented in a multi-sectional format.

GBP 94.99
1

Data Science for Wind Energy

Data Science for Wind Energy

Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy applications near-ground wind field analysis and forecast turbine power curve fitting and performance analysis turbine reliability assessment and maintenance optimization for wind turbines and wind farms. A broad set of data science methods covered including time series models spatio-temporal analysis kernel regression decision trees kNN splines Bayesian inference and importance sampling. More importantly the data science methods are described in the context of wind energy applications with specific wind energy examples and case studies. Please also visit the author’s book site at https://aml. engr. tamu. edu/book-dswe. FeaturesProvides an integral treatment of data science methods and wind energy applicationsIncludes specific demonstration of particular data science methods and their use in the context of addressing wind energy needsPresents real data case studies and computer codes from wind energy research and industrial practiceCovers material based on the author's ten plus years of academic research and insights

GBP 44.99
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Algebra & Geometry An Introduction to University Mathematics

Algebra & Geometry An Introduction to University Mathematics

Algebra & Geometry: An Introduction to University Mathematics Second Edition provides a bridge between high school and undergraduate mathematics courses on algebra and geometry. The author shows students how mathematics is more than a collection of methods by presenting important ideas and their historical origins throughout the text. He incorporates a hands-on approach to proofs and connects algebra and geometry to various applications. The text focuses on linear equations polynomial equations and quadratic forms. The first few chapters cover foundational topics including the importance of proofs and a discussion of the properties commonly encountered when studying algebra. The remaining chapters form the mathematical core of the book. These chapters explain the solutions of different kinds of algebraic equations the nature of the solutions and the interplay between geometry and algebra. New to the second edition Several updated chapters plus an all-new chapter discussing the construction of the real numbers by means of approximations by rational numbers Includes fifteen short ‘essays’ that are accessible to undergraduate readers but which direct interested students to more advanced developments of the material Expanded references Contains chapter exercises with solutions provided online at www. routledge. com/9780367563035 | Algebra & Geometry An Introduction to University Mathematics

GBP 52.99
1

A Course in Categorical Data Analysis

A Course in Categorical Data Analysis

Categorical data-comprising counts of individuals objects or entities in different categories-emerge frequently from many areas of study including medicine sociology geology and education. They provide important statistical information that can lead to real-life conclusions and the discovery of fresh knowledge. Therefore the ability to manipulate understand and interpret categorical data becomes of interest-if not essential-to professionals and students in a broad range of disciplines. Although t-tests linear regression and analysis of variance are useful valid methods for analysis of measurement data categorical data requires a different methodology and techniques typically not encountered in introductory statistics courses. Developed from long experience in teaching categorical analysis to a multidisciplinary mix of undergraduate and graduate students A Course in Categorical Data Analysis presents the easiest most straightforward ways of extracting real-life conclusions from contingency tables. The author uses a Fisherian approach to categorical data analysis and incorporates numerous examples and real data sets. Although he offers S-PLUS routines through the Internet readers do not need full knowledge of a statistical software package. In this unique text the author chooses methods and an approach that nurtures intuitive thinking. He trains his readers to focus not on finding a model that fits the data but on using different models that may lead to meaningful conclusions. The book offers some simple innovative techniques not highighted in other texts that help make the book accessible to a broad interdisciplinary audience. A Course in Categorical Data Analysis enables readers to quickly use its offering of tools for drawing scientific medical or real-life conclusions from categorical data sets.

GBP 170.00
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