{"product_id":"r-for-statistics","title":"R for Statistics","description":"\u003cp\u003eAlthough there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of \u003cem\u003eStatistiques avec R\u003c\/em\u003e enjoyed great success as an R guidebook in the French-speaking world. Translated and updated, \u003cstrong\u003eR for Statistics\u003c\/strong\u003e includes a number of expanded and additional worked examples.\u003c\/p\u003e\u003cp\u003eOrganized into two sections, the book focuses first on the R software, then on the implementation of traditional statistical methods with R. \u003c\/p\u003e\u003cp\u003eFocusing on the R software, the first section covers:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eBasic elements of the R software and data processing\u003c\/li\u003e\n\u003cli\u003eClear, concise visualization of results, using simple and complex graphs \u003c\/li\u003e\n\u003cli\u003eProgramming basics: pre-defined and user-created functions \u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThe second section of the book presents R methods for a wide range of traditional statistical data processing techniques, including: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eRegression methods\u003c\/li\u003e\n\u003cli\u003eAnalyses of variance and covariance \u003c\/li\u003e\n\u003cli\u003eClassification methods\u003c\/li\u003e\n\u003cli\u003eExploratory multivariate analysis \u003c\/li\u003e\n\u003cli\u003eClustering methods\u003c\/li\u003e\n\u003cli\u003eHypothesis tests \u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eAfter a short presentation of the method, the book explicitly details the R command lines and gives commented results. Accessible to novices and experts alike, R for Statistics is a clear and enjoyable resource for any scientist. \u003c\/p\u003e\u003cp\u003e\u003cem\u003eDatasets and all the results described in this book are available on the book’s webpage at \u003c\/em\u003e\u003cem\u003ehttp:\/\/www.agrocampus-ouest.fr\/math\/RforStat\u003c\/em\u003e\u003c\/p\u003e","brand":"Taylor \u0026 Francis Inc","offers":[{"title":"Default Title","offer_id":54224502882648,"sku":"9781439881453","price":72.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781439881453_17ffffe0-3489-4d72-a341-5d8cc45e3897.jpg?v=1777089646","url":"https:\/\/agendabookshop.com\/products\/r-for-statistics","provider":"Agenda Bookshop","version":"1.0","type":"link"}