On Tue, 2 Jun 2009 20:03:31 -0500, Mike Sears <[email protected]> wrote:
>> I want to sit down and learn R. >> Where is the best place to start? > >At your computer! ;) > >If you are looking for a book, good ones are Michael Crawley's Statistics: An >Introduction Using R or Peter Dalgaard's Introductory Statistics with R. > If I may be bold enough to refer to our own book: A Beginner's Guide to R (2009) Zuur, Ieno, Meesters. Springer Available for pre-ordering from: http://www.springer.com/statistics/computational/book/978-0-387-93836-3 Should be available in a month or so. Alain >Crawley is a biologist, and his book might be a little more accessible to >ecologists. He has also written a much more comprehensive book on R, The R >Book, which is useful. > >Cheers, > >Mike > >> >> Malcolm >> >> On Tue, Jun 2, 2009 at 4:58 PM, Gavin Simpson <[email protected]> >wrote: >> > On Tue, 2009-06-02 at 14:15 -0700, AdRiAnA HuMaNeS wrote: >> >> Dear Listers: >> >> I am writing to ask if anyone knows a statistical program besides >> >> PERMANOVA= that can do ANOVAS of mixed designs with four factors (two >> >> orthogonals and= two nested) and unbalanced data, >> >> >> >> Best Regards >> >> >> >> Adriana Humanes >> > >> > Function adonis() in the vegan package for R can fit this type of model. >> > >> > You can find out more here: >> > >> > http://cran.r-project.org/package=vegan >> > >> > HTH, >> > >> > G >> > >> > -- >> > >%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~% >> > Dr. Gavin Simpson [t] +44 (0)20 7679 0522 >> > ECRC, UCL Geography, [f] +44 (0)20 7679 0565 >> > Pearson Building, [e] gavin.simpsonATNOSPAMucl.ac.uk >> > Gower Street, London [w] http://www.ucl.ac.uk/~ucfagls/ >> > UK. WC1E 6BT. [w] http://www.freshwaters.org.uk >> > >%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~% > >-- >Michael W. Sears, Ph.D. >Department of Biology >Bryn Mawr College >101 N. Merion Ave >Bryn Mawr, PA 19010 > >http://www.brynmawr.edu/biology >http://www.zoology.siu.edu/sears/mike_sears_home.html >=========================================================================
