This post will eventually grow to hold a wide list of books on statistics (e-books, pdf books and so on) that are available for free download. But for now we’ll start off with just one several books:
- The Elements of Statistical Learning written by Trevor Hastie, Robert Tibshirani and Jerome Friedman. you can legally download a copy of the book in pdf format from the authors website! Direct download (First discovered on the “one R tip a day” blog)
- Statistics (Probability and Data Analysis) – a wikibook. Download link
- Introduction to Statistical Thought by Michael Lavine. The book is organized into seven chapters: “Probability,” “Modes of Inference,” “Regression,” “More Probability,” “Special Distributions,” “More Models,” and “Mathematical Statistics.” and makes extensive use of R. Here is a favoring review the book received in JASA. 328 pages. Download link (approx. 40 mbyte)
- Street-Fighting Mathematics by Sanjoy Mahajan. Download link
- Statistical Analysis with the General Linear Model by Miller and Haden. an introductory textbook describing statistical analysis with analysis of variance (ANOVA, including repeated-measures and mixed designs), simple and multiple regression, and analysis of covariance. 274 pages. Download link (p.s: this book makes no reference to R. see here for R tutorials and functions for performing repeated measures anova)
- Collaborative Statistics by Barbara Illowsky and Susan Dean. This textbook is intended for introductory statistics courses. 627 pages. R is not used in this book. Download link
- Using R for Introductory Statistics by John Verzani Publisher: Chapman & Hall/CRC 2004 ISBN/ASIN: 1584884509 ISBN-13: 9781584884507 Number of pages: 114 Description: The author presents a self-contained treatment of statistical topics and the intricacies of the R software. The book treats exploratory data analysis with more attention than is typical, includes a chapter on simulation, and provides a unified approach to linear models. This text lays the foundation for further study and development in statistics using R. Download link
- R Graphics (Three chapters only) by Paul Murrell ISBN: 9781584884866 ISBN 10: 158488486X Publication Date: July 29, 2005 Number of Pages: 328 Description: Chapter 1: An Introduction to R Graphics Chapter 4: Trellis Graphics: The Lattice Package Chapter 5: The Grid Graphics Model Download link (see scripts and images here)
- Using R Download link
- R intro Download link
- Psychometric Theory with Applications in R by William Revelle (a work in progress) Download link
- A great long list of R related texts, for free download, can be found here.
- Using Graphs Instead of Tables website link (This web page accompanies the article “Using Graphs Instead of Tables in Political Science”, by Jonathan Kastellec and Eduardo Leoni, which appears in the December 2007 issue of Perspectives on Politics. It contains complete replication code for all the graphs that appear in the text)
- IPSUR: Introduction to Probability and Statistics Using R by G. Jay Kerns, is FREE (in the GNU sense of the word) and comes with a plugin for Rcmdr. 412 pages. Download link (first discovered through the Revolution blog)
- Multivariate Statistics with R by Paul J. Hewson. 189 pages. Download link (first discovered through open text book blog)
- R Programming – a wikibook. (no PDF version is available as of yet)
- Think Stats – direct PDF link
- Modeling and Solving Linear Programming with R – free (pdf) download link
Several of these books were discovered through a CrossValidated discussion:
- http://stats.stackexchange.com/questions/614/open-source-statistical-textbooks/
- https://stats.stackexchange.com/questions/170/free-statistical-textbooks
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Know of any more e-books freely available for download? Please write to us about them in the comments.
I don’t know if this counts or not, but Ben Bolker’s first three chapters of Ecological models and data in R are available online: http://www.press.princeton.edu/titles/8709.html
More about the book and some materials is available at the author’s homepage @ http://people.biology.ufl.edu/bolker/emdbook/
Good link, thank you Romunov 🙂
G. Jay Kerns recently published an
“Introduction to Probability and Statistics Using R” book [1] that was generated using LyX with Sweave. The book and the source files are available for download, under the free GNU FDL licence.
[1] http://ipsur.r-forge.r-project.org/book/index.php
[2] http://ipsur.r-forge.r-project.org/book/downloads.php
Thanks Liviu for the link!
I recently came by that and intended to add it to the article.
BTW, notice that the book is not yet finished (at least when I checked it a couple of days ago)
Best,
Tal
The book is indeed work-in-progress. I am currently reading it and although not yet complete, it seems a good, self-contained introduction to stats with R (and Rcmdr). It would probably make sense to perceive it as a package in development, which has just hit 1.0. In the preface, the author kindly asks for contributions (as per GNU FDL).
Cheers
Liviu
thanks for this.
Causal Inference, Miguel Hernan and James Robins:
http://www.hsph.harvard.edu/faculty/miguel-hernan/causal-inference-book/
Verzani is the best out of those (to my knowledge).
Julian James Faraway: Applied Linear Models with R, is also good. And why not throw in some Shalizi on nonparametric stats?
If you’d be willing to suggest links (for free, legitimate, downloads) – I’d be happy to add them 🙂
• https://cran.r-project.org/doc/contrib/Faraway-PRA.pdf Faraway PDF
• http://vserver1.cscs.lsa.umich.edu/~crshalizi/teaching/ Shalizi page with PDF’s
i am economics post graduate student in university of gondar so i need a hand suggestion about stastics
2. If a random variable X has a mean of 2 and a variance of 3, what is the expected value for the random variable Y = 2X2 + 5X + 4?
Modeling With Data by Ben Klemens, though this is more doing statistical analyses with C
http://modelingwithdata.org/about_the_book.html
A very sober and encompassing book for any data analyist. I think this would be a worthy addition to the list, as well.
Writing a great article is about flair and passion. You obviously have passion and flair which is evidenced in this article. You keep your readers’ interest from the first sentence.
Fisher Capital Management
i need a G.C beri basic stattistics book 🙁
thank you very much really you help me with your valued website, I will appreciate this for life
the link to SFM changed. Congrats this page is still circulating. Please replace the link:
http://mitpress.mit.edu/books/street-fighting-mathematics
Thanks for the summary!
Thank you Brian – I’ve updated the links.
Best,
Tal
is there any way to get literature about R in concjunction with JAVA? something about JAVA and R interfaces so that u can work R in JAVA together, e.g to create a GUI for R with JAVA??? anybody knows?
I plan to explore Rob J Hyndman & George Athanasopoulos
“Forecasting: principles and practice”
https://www.otexts.org/fpp
“a comprehensive introduction to forecasting methods … use R throughout the book”
Hi can we download SPSS software for free?if possible,can u send me the link,pls! and also i want a link to learn SPSS,pls?
Hello subathra ,
I do not support illegal download of software. Use R+Deducer/Rcmdr, it is free and open source 🙂
Best,
Tal
Tal,
Actually there is an open source version of SPSS. See:
https://www.gnu.org/software/pspp/
PSPP is pretty much just like the base version of the original, except that it has fewer graphic capabilities. They’re working on that.
Tracy
Look at Statistics Topics ebook on Amazon by Mehta, and his free web log Statistics Ideas that has lecture slides. Nearly free and better in some pedagogical topics, than the ones you cite on your list of resources.
http://www.probabilitycourse.com/ is a great free web based probability book
Hi. Reading about R a few months ago I found this page that gives books away for free, like this one:
https://leanpub.com/regmods : Regression Models for Data Science in R (Brian Caffo).
There are so many other for free. I hope someone gets help from this and thanks for all information given here.
(I apologize for my really bad english. Still trying to improve it)