{"title":"Series: Chapman \u0026 Hall\/CRC The R Series","description":null,"products":[{"product_id":"advanced-r-second-edition-by-hadley-wickham-9780367255374","title":"Advanced R, Second Edition","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003ci\u003eAdvanced R\u003c\/i\u003e helps you understand how R works at a fundamental level. It is designed for R programmers who want to deepen their understanding of the language, and programmers experienced in other languages who want to understand what makes R different and special.\u003c\/p\u003e\n\n\u003cp\u003eThis book will teach you the foundations of R: three fundamental programming paradigms (functional, object-oriented, and metaprogramming); and powerful techniques for debugging and optimising your code.\u003c\/p\u003e\n\n\u003cp\u003eBy reading this book, you will learn:\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003eThe difference between an object and its name, and why the distinction is important\u003c\/li\u003e\n  \u003cli\u003eThe important vector data structures, how they fit together, and how you can pull them apart using subsetting\u003c\/li\u003e\n  \u003cli\u003eThe fine details of functions and environments\u003c\/li\u003e\n  \u003cli\u003eThe condition system, which powers messages, warnings, and errors\u003c\/li\u003e\n  \u003cli\u003eThe powerful functional programming paradigm, which can replace many for loops\u003c\/li\u003e\n  \u003cli\u003eThe three most important OO systems: S3, S4, and R6\u003c\/li\u003e\n  \u003cli\u003eThe tidy eval toolkit for metaprogramming, which allows you to manipulate code and control evaluation\u003c\/li\u003e\n  \u003cli\u003eEffective debugging techniques that you can deploy, regardless of how your code is run\u003c\/li\u003e\n  \u003cli\u003eHow to find and remove performance bottlenecks\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eThe second edition is a comprehensive update:\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003eNew foundational chapters: \"Names and values,\" \"Control flow,\" and \"Conditions\"\u003c\/li\u003e\n  \u003cli\u003eComprehensive coverage of object oriented programming with chapters on S3, S4, R6, and how to choose between them\u003c\/li\u003e\n  \u003cli\u003eMuch deeper coverage of metaprogramming, including the new tidy evaluation framework\u003c\/li\u003e\n  \u003cli\u003eUse of new packages like \u003ca href=\"http:\/\/rlang.r-lib.org\"\u003erlang\u003c\/a\u003e, which provides a clean interface to low-level operations, and \u003ca href=\"http:\/\/purrr.tidyverse.org\/\"\u003epurrr\u003c\/a\u003e for functional programming\u003c\/li\u003e\n  \u003cli\u003eUse of colour in code chunks and figures\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cb\u003eHadley Wickham\u003c\/b\u003e is Chief Scientist at RStudio, an Adjunct Professor at Stanford University and the University of Auckland, and a member of the R Foundation. He is the lead developer of the tidyverse, a collection of R packages, including ggplot2 and dplyr, designed to support data science. He is also the author of \u003ci\u003eR for Data Science\u003c\/i\u003e (with Garrett Grolemund), \u003ci\u003eR Packages\u003c\/i\u003e, and \u003ci\u003eggplot2: Elegant Graphics for Data Analysis\u003c\/i\u003e.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47604903248108,"sku":"9780367255374","price":423.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9780367255374-advanced-r-second-edition.jpg?v=1778115415"},{"product_id":"geocomputation-with-r-by-robin-lovelace-9781032229799","title":"Geocomputation with R","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cem\u003eGeocomputation with R\u003c\/em\u003e is for people who want to analyse, visualise, and model geographic data with open source software. The book provides a foundation for learning how to solve a wide range of geographic data analysis problems in a reproducible, and therefore scientifically sound and scalable way.\u003c\/p\u003e\n\n\u003cp\u003eThe second edition features numerous updates, including the adoption of the high-performance terra package for all raster data processing, detailed coverage of the spherical geometry engine s2, updated information on coordinate reference systems, and new content on openEO, STAC, COG, and gdalcubes. The data visualisation chapter has been revamped around version 4 of the tmap package, providing a fresh perspective on creating publication-quality maps from the command line. The importance of the book is also highlighted in a new foreword by Edzer Pebesma.\u003c\/p\u003e\n\n\u003cp\u003eThe book equips you with the knowledge and skills necessary to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. The book is especially well-suited to:\u003c\/p\u003e\n\n\u003cul\u003e\n    \u003cli\u003eData scientists and engineers interested in upskilling to handle spatial data.\u003c\/li\u003e\n    \u003cli\u003ePeople with existing geographic data skills interested in developing powerful geosolutions via code.\u003c\/li\u003e\n    \u003cli\u003eAnyone who needs to work with spatial data in a reproducible and scalable way.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eThe book is divided into three parts: Foundations, Extensions, and Applications, covering progressively more advanced topics. The exercises at the end of each chapter provide the necessary skills to address various geospatial problems, with solutions and supplementary materials available at \u003ca href=\"http:\/\/r.geocompx.org\/solutions\/\"\u003er.geocompx.org\/solutions\/\u003c\/a\u003e.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":47605936455916,"sku":"9781032229799","price":353.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781032229799-geocomputation-with-r.jpg?v=1778142133"},{"product_id":"practical-r-for-mass-communication-and-journalism-by-sharon-machlis-9781138726918","title":"Practical R for Mass Communication and Journalism","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003eDo you want to use R to tell stories? This book was written for you — whether you already know some R or have never coded before.\u003c\/p\u003e\n\n\u003cp\u003eMost R texts focus only on programming or statistical theory. \u003ci\u003ePractical R for Mass Communication and Journalism\u003c\/i\u003e gives you ideas, tools, and techniques for incorporating data and visualisations into your narratives.\u003c\/p\u003e\n\n\u003cp\u003eYou’ll see step by step how to:\u003c\/p\u003e\n\n\u003cul\u003e\n    \u003cli\u003eAnalyse airport flight delays, restaurant inspections, and election results\u003c\/li\u003e\n    \u003cli\u003eMap bank locations, median incomes, and new voting districts\u003c\/li\u003e\n    \u003cli\u003eCompare campaign contributions to final election results\u003c\/li\u003e\n    \u003cli\u003eExtract data from PDFs\u003c\/li\u003e\n    \u003cli\u003eWhip messy data into shape for analysis\u003c\/li\u003e\n    \u003cli\u003eScrape data from a website\u003c\/li\u003e\n    \u003cli\u003eCreate graphics ranging from simple, static charts to interactive visualisations for the Web\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eIf you work or plan to work in a newsroom, government office, non-profit policy organisation, or PR office, \u003ci\u003ePractical R for Mass Communication and Journalism\u003c\/i\u003e will help you use R in \u003ci\u003eyour\u003c\/i\u003e world.\u003c\/p\u003e\n\n\u003cp\u003eThis book has a companion website with code, links to additional resources, and searchable tables by function and task.\u003c\/p\u003e\n\n\u003cp\u003eSharon Machlis is the author of \u003ci\u003eComputerworld’s Beginner’s Guide to R\u003c\/i\u003e, host of \u003ci\u003eInfoWorld’s Do More With R\u003c\/i\u003e video screencast series, admin for the R for Journalists Google Group, and is well known among Twitter users who follow the #rstats hashtag. She is Director of Editorial Data and Analytics at IDG Communications (parent company of \u003ci\u003eComputerworld\u003c\/i\u003e, \u003ci\u003eInfoWorld\u003c\/i\u003e, \u003ci\u003ePC World\u003c\/i\u003e and \u003ci\u003eMacworld\u003c\/i\u003e, among others) and a frequent speaker at data journalism and R conferences.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":47607451975916,"sku":"9781138726918","price":132.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/6d11d6e9569a807c4da4896fe5805cfd.jpg?v=1778189709"},{"product_id":"reproducible-finance-with-r-by-jonathan-k-regenstein-jr-9781138484030","title":"Reproducible Finance with R","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cem\u003eReproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis\u003c\/em\u003e is a unique introduction to data science for investment management that explores the three major R\/finance coding paradigms, emphasizes data visualization, and explains how to build a cohesive suite of functioning Shiny applications. The full source code, asset price data and live Shiny applications are available at reproduciblefinance.com. The ideal reader works in finance or wants to work in finance and has a desire to learn R code and Shiny through simple, yet practical real-world examples.\u003c\/p\u003e\n\n\u003cp\u003eThe book begins with the first step in data science: importing and wrangling data, which in the investment context means importing asset prices, converting to returns, and constructing a portfolio. The next section covers risk and tackles descriptive statistics such as standard deviation, skewness, kurtosis, and their rolling histories. The third section focuses on portfolio theory, analyzing the Sharpe Ratio, CAPM, and Fama French models. The book concludes with applications for finding individual asset contribution to risk and for running Monte Carlo simulations. For each of these tasks, the three major coding paradigms are explored and the work is wrapped into interactive Shiny dashboards.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":47607493886188,"sku":"9781138484030","price":156.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/16cd527b2d527cc85dd4b963c100942a.jpg?v=1778188969"},{"product_id":"spatio-temporal-statistics-with-r-by-christopher-k-wikle-9781138711136","title":"Spatio-Temporal Statistics with R","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003eThe world is becoming increasingly complex, with larger quantities of data available to be analysed. It so happens that much of these \"big data\" that are available are spatio-temporal in nature, meaning that they can be indexed by their spatial locations and time stamps.\u003c\/p\u003e\n\n\u003cp\u003e\u003cem\u003eSpatio-Temporal Statistics with R\u003c\/em\u003e provides an accessible introduction to statistical analysis of spatio-temporal data, with hands-on applications of the statistical methods using R Labs found at the end of each chapter. The book:\u003c\/p\u003e\n\n\u003cul\u003e\n    \u003cli\u003eGives a step-by-step approach to analysing spatio-temporal data, starting with visualisation, then statistical modelling, with an emphasis on hierarchical statistical models and basis function expansions, and finishing with model evaluation.\u003c\/li\u003e\n    \u003cli\u003eProvides a gradual entry to the methodological aspects of spatio-temporal statistics.\u003c\/li\u003e\n    \u003cli\u003eProvides broad coverage of using R as well as \"R Tips\" throughout.\u003c\/li\u003e\n    \u003cli\u003eFeatures detailed examples and applications in end-of-chapter Labs.\u003c\/li\u003e\n    \u003cli\u003eFeatures \"Technical Notes\" throughout to provide additional technical detail where relevant.\u003c\/li\u003e\n    \u003cli\u003eIs supplemented by a website featuring the associated R package, data, reviews, errata, a discussion forum, and more.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eThe book fills a void in the literature and available software, providing a bridge for students and researchers alike who wish to learn the basics of spatio-temporal statistics. It is written in an informal style and functions as a down-to-earth introduction to the subject. Any reader familiar with calculus-based probability and statistics, and who is comfortable with basic matrix-algebra representations of statistical models, would find this book easy to follow. 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