Re: [ECOLOG-L] Statistic program question

2009-06-04 Thread Highland Statistics Ltd.
On Tue, 2 Jun 2009 20:03:31 -0500, Mike Sears mse...@brynmawr.edu 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

Re: [ECOLOG-L] Statistic program question

2009-06-04 Thread Michael Denslow
A few quick things to add to this thread. I have found two R packages particularly helpful for multivariate analysis of ecological data. For others see the CRAN Task View: Multivariate Statistics at: http://cran.r-project.org/web/views/Multivariate.html Vegan is great! It is very well

Re: [ECOLOG-L] Statistic program question

2009-06-03 Thread Gavin Simpson
On Tue, 2009-06-02 at 17:27 -0500, malcolm McCallum wrote: I want to sit down and learn R. Where is the best place to start? R has a steep learning curve. In my experience in helping colleagues to start using R, unless you can set aside a good chunk of time to learn by yourself and you stick at

Re: [ECOLOG-L] Statistic program question

2009-06-03 Thread Jarrett Byrnes
If you have specific statistics you want to run in mind (or even just want to redo some old analyses in R in order to make sure you understand what you are doing) I wrote up the following quick and dirty guide while I was teaching myself R. A few other folk have found it useful when they

Re: [ECOLOG-L] Statistic program question

2009-06-03 Thread Andy Jones
Another tutorial website that is useful for learning R and written for those with experience in SAS and other programs, Quick R. http://www.statmethods.net/ AJ On Tue, 2009-06-02 at 17:27 -0500, malcolm McCallum wrote: I want to sit down and learn R. Where is the best place to start?

[ECOLOG-L] Statistic program question

2009-06-02 Thread AdRiAnA HuMaNeS
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

Re: [ECOLOG-L] Statistic program question

2009-06-02 Thread Jonathan Greenberg
I'd be willing to bet R has it: http://cran.r-project.org/ --j 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

Re: [ECOLOG-L] Statistic program question

2009-06-02 Thread Gavin Simpson
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

Re: [ECOLOG-L] Statistic program question

2009-06-02 Thread malcolm McCallum
I want to sit down and learn R. Where is the best place to start? Malcolm On Tue, Jun 2, 2009 at 4:58 PM, Gavin Simpson gavin.simp...@ucl.ac.uk 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

Re: [ECOLOG-L] Statistic program question

2009-06-02 Thread Mike Sears
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. Crawley is a biologist, and his book might be a

Re: [ECOLOG-L] Statistic program question

2009-06-02 Thread Steve Wangen
I'd suggest checking the manuals at the r-project site ( http://cran.r-project.org/). Otherwise, there are many good books on the subject - I've found Ben Bolker's book (Ecological Models and Data in R) to be quite approachable and useful, but it not may work for everyone. Check out a few in a

Re: [ECOLOG-L] Statistic program question

2009-06-02 Thread Holger Kreft
Hi Malcolm, The web is full of R tutorials. Just download R from CRAN (http://www.r-project.org/) and get started. The 'official' and comprehensive tutorial is here: http://cran.r-project.org/doc/manuals/R-intro.html If you have some statistical knowledge you might find this website helpful: