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.