Biology, images, analysis, design...
Use/Abuse Stat.Book Beginners Stats & R
"It has long been an axiom of mine that the little things are infinitely the most important" (Sherlock Holmes)


Avoid and detect statistical malpractice:
Design and analysis for biologists, with R

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image copyright Shutterstock/ YAKOBCHUK VASYL, 18percentgrey

Authors: Bob Brightwell and Bob Dransfield
How to get on top of statistics,

a course and reference-work

Publisher: InfluentialPoints (2013)
Format: Online access from a secure folder. 
1200 hypertext pages (= 4000 A4 pages). 6000 illustrations. 100's of worked examples. 1000's of notes & refs, + R-code. How to get R  (it is free).
Availability: How to get access. 
Description: This is a practical, up-to-date, interactive biostatistics course and reference work for undergraduate or postgraduate biologists.
-  It shows how readily malpractice can be identified in statistical analyses, and critically evaluates a huge variety of medical, veterinary, and ecological examples.
-  It evaluates the reasons for statistical malpractice, from ignorance to mistakes to fraud.
-  It clarifies the conflicting terminology, explains the statistical controversies, and reviews common errors in design, analysis and interpretation.
-  It describes the popular study designs, plus many advanced ones - and examines their reasoning, strengths and weaknesses.
-  It explores the reasoning behind statistical analyses (including worked examples) and explains how they are affected by their assumptions, study design, and data.
-  It uses simulation models to explore the logic and assumptions that underlie the standard formulae, and exposes their behaviour when those assumptions hold - or when they fail.

If you want to publish worthwhile results, or defend your conclusions, or critically evaluate others' work, this is invaluable.

How to obtain online access

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£ 25*

*Single user, open ended, 100% online, multi-machine access.

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Will it display ? Our hypertext pages can be displayed by most devices, provided they have a reasonably up-to-date browser.

Our pages are not designed for tiny screens, very slow connections, or text-only displays. Peep inside 

Must I have R ? R is not essential for reading this book, only for doing the excercises (they include an intro for those new to R).

R requires Windows, Mac, or Linux.

Get R (it is free) Base-R for Windows  and base-R for MAC  include a graphical user interface.

For Linux (including Ubuntu) you can run Windows R using a Windows 'emulator' such as Wine 

or use an R 'front-end' such as RStudio 

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