Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
R-ticulate

R-ticulate

Bader, Martin

Hardcover

General ScienceProbability & Statistics

ISBN10: 111971799X
ISBN13: 9781119717997
Publisher: Wiley
Published: Jul 2 2024
Pages: 224
Weight: 1.32
Height: 0.56 Width: 7.00 Depth: 10.00
Language: English

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.

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