{"product_id":"r-ticulate-a-beginners-guide-to-data-analysis-for-natural-scientists-hardcover","title":"R-Ticulate: A Beginner's Guide to Data Analysis for Natural Scientists - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eMartin Bader\u003c\/b\u003e (Author), \u003cb\u003eSebastian Leuzinger\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAccessible learning resource that develops data analysis skills for natural science students in an efficient style using the R programming language\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eR-ticulate -- A Beginner's Guide to Data Analysis for Natural Scientists\u003c\/i\u003e is a compact, example-based, and user-friendly statistics textbook without unnecessary frills, but instead filled with engaging, relatable examples, practical tips, online exercises, resources, and references to extensions, all on a level that follows contemporary curricula taught in large parts of the world. \u003c\/p\u003e\u003cp\u003eThe content structure is unique in the sense that statistical skills are introduced at the same time as software (programming) skills in R. This is by far the best way of teaching from the authors' experience. \u003c\/p\u003e\u003cp\u003eReaders of this introductory text will find: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eExplanations of statistical concepts in simple, easy-to-understand language\u003c\/li\u003e \u003cli\u003eA variety of approaches to problem solving using both base R and tidyverse\u003c\/li\u003e \u003cli\u003eBoxes dedicated to specific topics and margin text that summarises key points\u003c\/li\u003e \u003cli\u003eThe clearly outlined schedule is organized into 12 chapters corresponding to the 12 semester weeks of most universities\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eWhile at its core a traditional printed book, \u003ci\u003eR-ticulate -- A Beginner's Guide to Data Analysis For Natural Scientists\u003c\/i\u003e comes with a wealth of online teaching material, making it an ideal and efficient reference for students who wish to gain a thorough understanding of the subject, as well as for instructors teaching related courses.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAn accessible learning resource that develops data analysis skills for natural science students in an efficient style using the R programming language\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eR-ticulate: A Beginner's Guide to Data Analysis for Natural Scientists \u003c\/i\u003eis a compact, example-based, and user-friendly statistics textbook without unnecessary frills, but instead filled with engaging, relatable examples, practical tips, online exercises, resources, and references to extensions, all on a level that follows contemporary curricula taught in large parts of the world. \u003c\/p\u003e\u003cp\u003eThe content structure is unique in the sense that statistical skills are introduced at the same time as software (programming) skills in R. This is by far the best way of teaching from the authors' experience. \u003c\/p\u003e\u003cp\u003eReaders of this introductory text will find: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eExplanations of statistical concepts in simple, easy-to-understand language \u003c\/li\u003e\n\u003cli\u003eA variety of approaches to problem solving using both base R and \u003ci\u003etidyverse \u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eBoxes dedicated to specific topics and margin text that summarizes key points \u003c\/li\u003e\n\u003cli\u003eA clearly outlined schedule organized into 12 chapters corresponding to the 12 semester weeks of most universities\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eWhile at its core a traditional printed book, \u003ci\u003eR-ticulate: A Beginner's Guide to Data Analysis for Natural Scientists \u003c\/i\u003ecomes with a wealth of online teaching material, making it an ideal and efficient reference for students who wish to gain a thorough understanding of the subject, as well as for instructors teaching related courses.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eMartin Bader\u003c\/b\u003e gained an MSc in geography at Saarland University in Germany and an MSc in biology at Waikato University, New Zealand. He earned a PhD in plant ecology at the University of Basel, Switzerland. After post-doctoral stints in Switzerland and Australia he joined the New Zealand Forest Research Institute as a forest ecologist and biostatistician. Following a senior lecturer appointment at Auckland University of Technology, New Zealand, he is now a professor of forest ecology at Linnaeus University, Sweden. He has taught undergraduate and postgraduate courses in statistics at universities and research institutes in various parts of the world. His research focuses on the physiological responses of plants to climate change and their biotic interactions. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eSebastian Leuzinger \u003c\/b\u003e did his first degree in marine biology at James Cook University, Australia, with a postgraduate degree in statistics (University of Neuchatel, Switzerland) and a PhD in plant ecology (University of Basel, Switzerland). He has done post-doctoral studies at ETH Zurich, Switzerland, in forest ecology and modelling before joining Auckland University of Technology where he is a full professor in ecology. He has taught undergraduate and postgraduate statistics for natural scientists for over a decade. His research is on global change impacts on plants, with a special interest in meta-analysis of global change experiments.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 224\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.56 x 10 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 23, 2024\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47337114501369,"sku":"9781119717997","price":172.8,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/vxmKZP-QlD9781119717997.webp?v=1769675029","url":"https:\/\/bookscloud.io\/products\/r-ticulate-a-beginners-guide-to-data-analysis-for-natural-scientists-hardcover","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}