The manuals I have seen are a bit frustrating. They are either too simple, or too complex. Is there a manual that has a strong intro to R, good explanation of multivariate stats, and good intro to graphics? Should I look for separate manuals then?
Brian Everitt has authored some books on the topic. I can vouch for "Handbook of Statistical Analyses Using R" in particular. It contains chapters on multivariable regression models, clustering, multidimensional scaling, and principal component analysis to give a brief overview.
Book at Amazon:
http://www.amazon.com/Handbook-Statistical-Analyses-Using-Second/dp/1420079336/ref=la_B001IXU41I_1_5?s=books&ie=UTF8&qid=1405130904&sr=1-5
university of stanford is conducting an online course on medstats and they will also be going through R... i think it will be very helpful
Data analysis and Visualization with R by Duursma, Powell and Stone is a good introductory book to R, with plant ecophysiology examples and online data. This is the link: http://www.remkoduursma.com/hier
Hi, Gerardo Avalos
See the attachment. I hope that references are very useful to you.
I can second the Hothorn and Everett "Handbook of Statistical Analyses Using R" I was a little disappointed in the Bayesian section in the third edition but still a good book, I also liked Everitt's "Analyzing Medical Data using S-Plus"
Hi Gerardo,
I can also second Brian Everitt's books. If you are interested in a specific topic you might also look at the Use R! series (Springer).
http://www.springer.com/series/6991?detailsPage=titles
I found several of them very helpful.
Best, Dorota
Hi Gerardo,
A Handbook of Statistical Analyses
Using R is my favorite..
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