Sample chapters - Scripts and data sets - Information for lecturers - Online resources for R beginners - Contact, discuss, review
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. The book
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
5 star review on
"R is a world class tool for data analysis, but
is intimidating when you first try to get going. This
book guides you through that initial period with
aplomb, and a heathy sprinkling of humour too. How do
you even get your data into R ? This book gets you
there and sets you sailing.".
Price drop! By cutting down on the file size I've managed to reduce the Amazon "Download charge" which means that I've been able to drop the price of the book to $5.50 or something near that on Amazon, Kobo and iBooks, and $4 on gumroad.
Introductory R is available for direct download to your ebook reader or tablet from Amazon, Kobo, and in the iBookstore for approximately £5, $8 or €6. You can buy a pdf or an epub file from Gumroad for a bit less (see the whiney section on pricing below).
The epub can be read on a computer or tablet using an epub reader app or on almost all ebook readers. Please note that if you buy it directly from Gumroad you'll need to be able to load it onto your ebook reader yourself: if you don't think you can manage this then you'll have to go with the pdf or pay a bit more and get it directly onto your ebook reader.
Whiney section on pricing The pricing of these books is largely determined by the pricing policies of the ebook sellers. If you look at their literature you'll see that Amazon let you sell ebooks and charge a 30% fee - this is not actually a true representation of the real charges they impose. Firstly, they impose a "download charge", and secondly they charge a 65% fee in a number of territories such as India, where I sell a lot of books. This 65% fee can be avoided if you sign up to a deal whereby you agree only to sell your ebook through Amazon... but I prefer not to do that. Amazon will also discount your ebook without even the courtesy of an email to the author, and also require that the book not be sold at a cheaper price at another ebook seller. That said, Amazon are amazingly slick and the whole process of selling books through them is a pleasure, unlike Google books: their system is so hard to deal with and their insistence on also discounting apparently at random and with no input from the author means that I've given up in frustration. From my point of view the best deal is if you buy the pdf or the epub file direct through Gumroad.
You can download and read the first four chapters from Introductory R free of charge. The full chapter listing is:
If you're teaching
a course on R and you'd like to recommend Introductory R
as a course textbook, email me and we
can discuss special pricing deals.
I've put together a page with links to some of the best online resources available for the R novice, including online books and guides and video tutorials.
If you have any specific questions or comments please drop me a line
If you have general questions or ones that other people might be interested in as well then there is a facebook page for the book - we can discuss things there if you like.
If you've read the book and found it helpful, a review in the usual places is always very much appreciated.