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Introductory R: A Beginner’s Guide to Data Visualisation and Analysis Using R
R is now the most widely used statistical software in academic science and it is rapidly expanding into other fields such as finance. R is almost limitlessly flexible and powerful, hence its appeal, but can be very difficult for the novice user. There are no easy pull-down menus, error messages are often cryptic and simple tasks like importing your data or exporting a graph can be difficult and frustrating. Introductory R is written for the novice user who knows a bit about statistics but who hasn’t yet got to grips with the ways of R. This book:
1) Walks you through the basics of R’s command line interface
2) Gives a set of simple rules to follow to make sure you import your data properly
3) Introduces the script editor and gives advice on workflow
4) Contains a detailed introduction to drawing graphs in R and
5) Gives advice on how to deal with some of the most common errors that you might encounter.
The techniques of statistical analysis in R are illustrated by a series of chapters where experimental and survey data are analysed. There is a strong emphasis on using real data from real scientific research, with all the problems and uncertainty that implies, rather than well-behaved made-up data that give ideal and easy to analyse results.
Introductory R: A Beginner’s Guide to Data Visualisation and Analysis Using R
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Kia sportage R 2012
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