EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link: https://ebookbell.com/faq

We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.

For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Practical R For Biologists An Introduction Donald Lj Quicke Buntika A Butcher Rachel A Kruft Welton

Name: Practical R For Biologists An Introduction Donald Lj Quicke Buntika A Butcher Rachel A Kruft Welton
SKU: BELL-22339610
Price: 31.00 USD
Availability: InStock
Rating: 4.4 (12 reviews)

SKU: BELL-22339610

$ 31.00 ~~$ 45.00~~ (-31%)

4.4

12 reviews

Practical R For Biologists An Introduction Donald Lj Quicke Buntika A Butcher Rachel A Kruft Welton instant download after payment.

Publisher: CABI

File Extension: PDF

File size: 12.98 MB

Pages: 400

Author: Donald L.J. Quicke & Buntika A. Butcher & Rachel A. Kruft Welton

ISBN: 9781789245349, 1789245346

Language: English

Year: 2021

Product desciption

Practical R For Biologists An Introduction Donald Lj Quicke Buntika A Butcher Rachel A Kruft Welton by Donald L.j. Quicke & Buntika A. Butcher & Rachel A. Kruft Welton 9781789245349, 1789245346 instant download after payment.

R is a freely available, open-source statistical programming environment which provides powerful statistical analysis tools and graphics outputs. R is now used by a very wide range of people; biologists (the primary audience of this book), but also all other scientists and engineers, economists, market researchers and medical professionals. R users with expertise are constantly adding new associated packages, and the range already available is immense. This text works through a set of studies that collectively represent almost all the R operations that biology students need in order to analyse their own data. The material is designed to serve students from first year undergraduates through to those beginning post graduate levels. Chapters are organized around topics such as graphing, classical statistical tests, statistical modelling, mapping, and text parsing. Examples are based on real scientific studies, and each one covers the use of more R functions than those simply necessary to get a p-value or plot.