R-Ticulate: A Beginner's Guide to Data Analysis for Natural Scientists

Bader, Martin, Leuzinger, Sebastian

R-Ticulate: A Beginner's Guide to Data Analysis for Natural Scientists
  • 出版商: Wiley
  • 出版日期: 2024-07-23
  • 售價: $4,100
  • 貴賓價: 9.5 折 $3,895
  • 語言: 英文
  • 頁數: 224
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 111971799X
  • ISBN-13: 9781119717997
  • 相關分類: Data Science

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Accessible learning resource that develops data analysis skills for natural science students in an efficient style using the R programming language

R-ticulate -- A Beginner's Guide to Data Analysis for Natural Scientists 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.

The 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.

Readers of this introductory text will find:

  • Explanations of statistical concepts in simple, easy-to-understand language
  • A variety of approaches to problem solving using both base R and tidyverse
  • Boxes dedicated to specific topics and margin text that summarises key points
  • The clearly outlined schedule is organized into 12 chapters corresponding to the 12 semester weeks of most universities

While at its core a traditional printed book, R-ticulate -- A Beginner's Guide to Data Analysis For Natural Scientists 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.

商品描述(中文翻譯)

可及的學習資源，旨在以高效的方式為自然科學學生培養數據分析技能，使用 R 程式語言。

《R-ticulate -- 自然科學家的數據分析入門指南》是一本簡潔、以範例為基礎且使用者友好的統計教科書，沒有多餘的裝飾，而是充滿了引人入勝、易於理解的範例、實用的提示、線上練習、資源和延伸參考，所有內容均符合當今世界大部分地區所教授的現代課程。

其內容結構獨特，因為統計技能與 R 語言的軟體（程式設計）技能同時介紹。根據作者的經驗，這無疑是最佳的教學方式。

這本入門書的讀者將會發現：
- 用簡單易懂的語言解釋統計概念
- 使用基礎 R 和 tidyverse 的多種問題解決方法
- 專門主題的框框和總結關鍵點的邊欄文字
- 明確的課程安排，分為 12 章，對應大多數大學的 12 週學期

雖然本書的核心是一部傳統的印刷書籍，《R-ticulate -- 自然科學家的數據分析入門指南》還附帶了豐富的線上教學材料，使其成為希望深入理解該主題的學生以及教授相關課程的教師的理想且高效的參考資料。

作者簡介

Martin Bader 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.

Sebastian Leuzinger 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.

作者簡介(中文翻譯)

馬丁·巴德（Martin Bader）在德國薩爾蘭大學獲得地理學碩士學位，並在紐西蘭懷卡托大學獲得生物學碩士學位。他在瑞士巴塞爾大學獲得植物生態學博士學位。完成在瑞士和澳大利亞的博士後研究後，他加入紐西蘭森林研究所，擔任森林生態學家和生物統計學家。隨後，他在紐西蘭奧克蘭科技大學擔任高級講師，目前是瑞典林奈大學的森林生態學教授。他在世界各地的多所大學和研究機構教授本科和研究生統計課程。他的研究重點是植物對氣候變化的生理反應及其生物相互作用。

塞巴斯蒂安·勒辛格（Sebastian Leuzinger）在澳大利亞詹姆斯庫克大學獲得海洋生物學學士學位，並在瑞士內雪泰爾大學獲得統計學研究生學位，隨後在瑞士巴塞爾大學獲得植物生態學博士學位。他曾在瑞士蘇黎世聯邦理工學院進行森林生態學和建模的博士後研究，之後加入奧克蘭科技大學，擔任生態學全職教授。他在過去十多年中教授自然科學家的本科和研究生統計課程。他的研究專注於全球變化對植物的影響，特別關注全球變化實驗的元分析。

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