{"product_id":"beginning-r-an-introduction-to-statistical-programming-practical-r","title":"Beginning R: An Introduction to Statistical Programming - Practical R","description":"\u003cp\u003eOur review of Beginning R: An Introduction to Statistical Programming finds it to be a practical, hands-on introduction to learning R for people who need a clear, task-oriented path into statistical programming. The book focuses on teaching readers how to use the R language, write and save R scripts, build and import data files, and write custom statistical functions, making it most valuable for students, researchers, and data analysts who prefer learning by doing and want a free, powerful tool without commercial licensing concerns.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eHands-on instruction:\u003c\/strong\u003e Step-by-step examples help the reader learn how to write and save executable R scripts to reproduce analyses.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eData handling:\u003c\/strong\u003e Clear guidance on building and importing data files makes it easier to move real data into R for analysis.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCustom functions:\u003c\/strong\u003e Demonstrates how to write your own statistical functions so readers can extend R to specific analysis needs.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePractical orientation:\u003c\/strong\u003e Emphasizes doing and teaching computational statistics, so readers get applicable skills rather than only theory.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFree software focus:\u003c\/strong\u003e Introduces R as a free, open-source implementation of S, highlighting community resources and code availability.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eWho It's For\u003c\/h2\u003e\u003cp\u003eBeginning R is best for beginners in statistics or programming who prefer a practical, example-driven approach. It suits students in applied mathematics, scientists, and analysts who want to adopt R as a primary tool for computational statistics and who value learning how to script analyses and create custom functions.\u003c\/p\u003e\u003cp\u003eThose looking for an exhaustive reference to every R package or advanced topics in machine learning should look elsewhere; this book is an introduction that emphasizes core language use, data file handling, and foundational function writing rather than an encyclopedia of packages or advanced algorithms.\u003c\/p\u003e\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003ePros\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003ePractical, task-focused examples that make learning how to write and save \u003cstrong\u003eR scripts\u003c\/strong\u003e straightforward.\u003c\/li\u003e\n\u003cli\u003eUseful coverage of importing and building data files so readers can work with real datasets quickly.\u003c\/li\u003e\n\u003cli\u003eIntroduces writing custom statistical functions, giving readers tools to extend analyses beyond built-in routines.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\u003cli\u003eAs an introductory text, it does not cover every specialized package or advanced statistical technique.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eTitle\u003c\/td\u003e\n\u003ctd\u003eBeginning R: An Introduction to Statistical Programming\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAuthor\u003c\/td\u003e\n\u003ctd\u003eLarry Pace\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFocus\u003c\/td\u003e\n\u003ctd\u003eIntroductory R language and statistical programming\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eApproach\u003c\/td\u003e\n\u003ctd\u003eHands-on examples, scripting, data import, custom functions\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSoftware\u003c\/td\u003e\n\u003ctd\u003eR (open-source implementation of S)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIntended audience\u003c\/td\u003e\n\u003ctd\u003eStudents, researchers, and applied analysts\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eOur Verdict\u003c\/h2\u003e\u003cp\u003eBeginning R is a solid introductory resource for anyone who wants a practical path into statistical programming with the R language. It delivers clear instruction on scripting, data import, and custom function writing, making it good value for learners who need applied skills rather than exhaustive package coverage.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eDoes the book teach how to import data?\u003c\/strong\u003e\u003cbr\u003eYes. It covers building and importing data files so readers can bring real datasets into R.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eIs prior programming experience required?\u003c\/strong\u003e\u003cbr\u003eNo; the book is aimed at beginners and uses hands-on examples to teach core R concepts.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDoes it cover advanced R packages?\u003c\/strong\u003e\u003cbr\u003eIt focuses on core language use and custom functions rather than an exhaustive review of specialized packages.\u003c\/p\u003e","brand":"Larry Pace","offers":[{"title":"Default Title","offer_id":48196538925275,"sku":"1430245549","price":35.19,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/61eK9CbUGpL._SL1181.jpg?v=1770302175","url":"https:\/\/gearmusthave.com\/products\/beginning-r-an-introduction-to-statistical-programming-practical-r","provider":"GearMustHave","version":"1.0","type":"link"}