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Sample chapters - Scripts and data sets - Information for lecturers - Online resources for R beginners - Contact, discuss, review
Introductory R
A Beginner's Guide to Data Visualisation, Statistical Analysis and Programming 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 little about statistics but who hasn't yet got to grips with the ways of R. This new edition is completely revised and greatly expanded with new chapters on the basics of descriptive statistics and statistical testing, considerably more information on statistics and six new chapters on programming in R. Topics covered include
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. 5 star review on
Amazon.co.uk:
"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.".
Where can I buy it?
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 that they charge a 30% fee for this, but 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 and Google 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. From my point of view the best deal is
if you buy the pdf or the epub file direct through
Gumroad. The Gumroad files are also DRM free.
You can download and
read five sample chapters from Introductory R free of
charge. The full chapter listing is: Sample chapters
Scripts and data sets from the book
Information for lecturers
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.
Online resources for R beginners
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.
Contact, discuss, review
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.