<p>I have been asked to recommend introductory books and resources to R and Bioconductor. My problem is just, I never read a book to learn R or Bioconductor, so I have no experience with this and cannot recommend one. I am interested in mainly introductory books, possibly targeting various groups of readers (computer scientists, molecular biologists, (bio-)statisticians), any recommendation appreciated.  </p>

<p>For example, I used the following resources:</p>

<ul>
<li>The <a href='http://cran.r-project.org/manuals.html'>R-manuals</a>, especially <a href='http://cran.r-project.org/doc/manuals/R-intro.html'>the R intro</a></li>
<li>There are also <a href='http://cran.r-project.org/other-docs.html'>a lot of contributed documents there</a> on the R web site, but I didn't 
use.</li>
<li>If a package from Bioconductor interests me, I read the package vignette.</li>
<li>I read the Bioconductor mailing list, that helps to see what other people use.</li>
<li>I have the "<a href='http://www.springer.com/statistics/computanional+statistics/book/978-0-387-98966-2'>Venebles, Ripley. S Programming</a>" book, that is hardly introductory. </li>
</ul>

<p>Which books did you find helpful or completely useless to learn R/Bioconductor? For example: <a href='http://www.bioconductor.org/pub/RBioinf/'>R Programming for Bioinformatics</a> looks promising, anybody read it?</p>

<p>Or do you share my reluctance towards R-books and prefer online resources?</p>

<p><a href='http://www.amazon.com/Programming-Bioinformatics-Chapman-Computer-Analysis/dp/1420063677'>R Programming for Bioinformatics (Chapman &amp; Hall/CRC Computer Science &amp; Data Analysis)</a></p>

<p><a href='http://www.amazon.com/Bioinformatics-Computational-Solutions-Bioconductor-Statistics/dp/0387251464'>Bioinformatics and Computational Biology Solutions Using R and Bioconductor (Statistics for Biology and Health)</a> </p>

<p><a href='http://www.statmethods.net/'>Quick-R</a></p>

<p><a href='http://cran.r-project.org/doc/contrib/Owen-TheRGuide.pdf'>cran: TheRGuide</a> </p>

<p><a href='http://cran.r-project.org/doc/manuals/R-intro.pdf'>cran: An Introduction to R</a></p>

<p><a href='http://google-styleguide.googlecode.com/svn/trunk/google-r-style.html'>Google's R Style Guide</a></p>

<p><a href='http://www.springer.com/statistics/computanional+statistics/book/978-0-387-93836-3'>A Beginner's Guide to R</a></p>

<p><a href='http://www.r-bloggers.com/r-tutorial-series-r-beginners-guide-and-r-bloggers-updates/'>R Tutorial Series: R Beginner’s Guide and R Bloggers Updates</a></p>
