Beginning R: The Statistical Programming Language

R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user–friendly context. Both students and workers in fields that require extensive statistical analysis will find this book helpful as they learn to use R for simple summary statistics, hypothesis testing, creating graphs, regression, and much more. It covers formula notation, complex statistics, manipulating data and extracting components, and rudimentary programming.

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The Essential R Reference

R is a language with its own vocabulary and grammar. To make R work for you, you communicate with the computer using the language of R and tell it what to do. You accomplish this by typing commands directly into the program. This means that you need to know some of the words of the language and how to put them together to make a “sentence” that R understands. This book aims to help with this task by providing a “dictionary” of words that R understands.

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Community Ecology: Analytical Methods Using R and Excel

Interactions between species are of fundamental importance to all living systems and the framework we have for studying these interactions is community ecology. This is important to our understanding of the planet’s biological diversity and how species interactions relate to the functioning of ecosystems at all scales. Species do not live in isolation and the study of community ecology is of practical application in a wide range of conservation issues.

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Statistics for Ecologists Using R and Excel

This is a book about the scientific process and how you apply it to data in ecology. You will learn how to plan for data collection, how to assemble data, how to analyze data and finally how to present the results. The book uses Microsoft Excel and the powerful Open Source R program to carry out data handling as well as producing graphs.

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