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Getting Started with R: An Introduction for Biologists
Free Download Getting Started with R: An Introduction for Biologists
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Review
Review from previous edition: "The book would make the ideal text for a short course on data management and presentation - it truly packs an amazing amount of wisdom and wit between slim covers."--Trends in Ecology and Evolution"I was engaged by the refreshing style of the authors, that while informal, gives the user clear step-by-step instructions for using the software. Apart from the clear biological leaning of the example data, this book is applicable to anyone learning R (even a statistician!)."--Significance
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About the Author
Andrew Beckerman, Department of Animal and Plant Science, University of Sheffield,Owen Petchey, Department of Evolutionary Biology and Environmental Studies, University of Zurich,Dylan Childs, Department of Animal and Plant Science, University of SheffieldAndrew leads a research team studying community and evolutionary ecology. He has been using R and teaching quantitative methods for over 16 years.Owen leads a research team studying ecological forecasting. He has been using R and teaching quantitative methods for over 16 years.Dylan leads a research team studying population biology. He has been using R and teaching quantitative methods for over 15 years.
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Product details
Paperback: 240 pages
Publisher: Oxford University Press; 2 edition (March 26, 2017)
Language: English
ISBN-10: 9780198787846
ISBN-13: 978-0198787846
ASIN: 0198787847
Product Dimensions:
9.4 x 0.6 x 6.6 inches
Shipping Weight: 1.1 pounds (View shipping rates and policies)
Average Customer Review:
4.8 out of 5 stars
8 customer reviews
Amazon Best Sellers Rank:
#346,560 in Books (See Top 100 in Books)
This is THE best book out there for biologists (and others who do data science, I'd think) who want to get up to speed in R. The book is very efficient, funny, smart, and yes, actually fun! I highly recommend using the 2017 2nd edition which is based on Harvey Wickham's packages including dplyr and ggplot2, which are more effective and easier to learn than base R, and are becoming the norm for R users. I both use R and teach it, and I've used many different books and online courses, but if you only have time for one source this should be it.
This is a great book for getting started with R. It has been been revised dramatically since the first edition and the use of Rstudio really brings the book up to date. I also enjoyed the teaching method that the authors use. They introduce new concepts and functions and then encourage experimentation and exploration more than just following along with the examples. For that reason the material is engaging and fun to work though. I would highly recommend this book to anyone who is just beginning to use R or Rstudio.
This is a great book from anyone who has never opened R before to an amateur wanting to gain more skills. They walk through the chapters slowly and -if you can believe it- it's actually kind of fun to follow along. Besides buying the book, everything is free from the program to all the data sets they use (available on their website). I started this book for my Master's program and have learned more than I thought I would after just a few months by using this book.
Great introduction to R. I would highly recommend buying this edition if you already have access to the first as it teaches dplyr and ggplot2 which I found easier and powerful after trying to learn both this way and base R methods for the same tasks from a (borrowed) first edition.
great condition!
As someone new to R and RStudio, this has everything I needed to know to get started.
Excellent, clear and immediately useful.
The book is good for beginners who wish to learn R coding. I myself have zero experience and started my R journey with this book. I manage to learn the basics and move on to more advance coding. The book is easy to understand and has a good flow
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