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R-ticulate: A Beginner's Guide to Data Analysis for Natural Scientists
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
hardcover. Condition: Very Good.
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R-ticulate: A Beginner's Guide to Data Analysis for Natural Scientists
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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R-ticulate : A Beginner's Guide to Data Analysis for Natural Scientists
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 110.32
US$ 19.86 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
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R-ticulate : A Beginner's Guide to Data Analysis for Natural Scientists
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 131.24
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R-ticulate: A Beginner's Guide to Data Analysis for Natural Scientists
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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First Edition
Condition: New. 2024. 1st Edition. hardcover. . . . . .
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R-ticulate
Published by John Wiley and Sons Inc, US, 2024
ISBN 10: 111971799X ISBN 13: 9781119717997
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. An 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 summarizes key points A clearly outlined schedule 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.
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Condition: New. 2024. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
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An Introduction to Data Analysis Using R: A Guide for Natural Scientists
Published by John Wiley and Sons Ltd, 2024
ISBN 10: 111971799X ISBN 13: 9781119717997
Language: English
Gebunden. Condition: New. Über den AutorMartin Karl-Friedrich Bader, gained a MSc in geography at Saarland University in Germany and a MSc in biology at Waikato University, New Zealand. He earned a PhD in plant ecology at the University of Basel, .
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R-ticulate
Published by John Wiley and Sons Inc, US, 2024
ISBN 10: 111971799X ISBN 13: 9781119717997
Language: English
Hardback. Condition: New. An 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 summarizes key points A clearly outlined schedule 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.
