[R-sig-eco] classical statistics in R

Christian A. Parker cparker at pdx.edu
Mon Nov 10 21:30:22 CET 2008


I agree with Jordan and will also throw in Gelman and Hill's "Data 
Analysis Using Regression and Multilevel/Hierarchical Models". Its a 
social science based book but is very relevant to ecologists and 
includes R code (and bugs code).
-Chris


Jordan Mayor wrote:
> Personally, I found G&E to be very helpful at only a cursory interest level.
>  Quinn & Keough's "Experimental Design and Data Analysis for Biologists" is
> a practical in-depth text that covers allot more detail - but, alas no
> R-code is provided.  In fact, it is quite program-independent.
> 
> Cheers
> 
> On Mon, Nov 10, 2008 at 3:10 PM, tyler <tyler.smith at mail.mcgill.ca> wrote:
> 
> 
>>Hi,
>>
>>I've just received my copy of Ben Bolker's new book, "Ecological Models
>>and Data in R". I was a little surprised to see he recommended Sokal and
>>Rohlf's "Biometry" as an introduction to classical stats. Not because
>>there's anything wrong with S&R, it's comprehensive and well-written.
>>My problem with this book is that it's written from the perspective of
>>filling out tables of sums of squares according to fixed recipes, while
>>R is geared towards more flexible linear models. Trying to translate the
>>more complex recipes into R code is not a trivial task.
>>
>>In response to an email, Ben suggested that Gotelli and Ellison's
>>"Primer of Ecological Statistics" provides a more modern take on the
>>subject than S&R. I have to agree, G&E is one of the best intros I've
>>seen for ecologists. But it doesn't really go very far into the possible
>>complexities of ANOVA and linear regression, and doesn't specifically
>>address implementing tests in R.
>>
>>Ben and I are both curious as to what other r-sig-eco readers think
>>about this issue. What are the best sources for learning about classical
>>statistics as implemented in R? S&R has been the standard reference for
>>quite a while, but it now appears to be dated. Is there a good standard
>>text that covers the same breadth of material with a modern, R-compatible
>>approach? Ben also recommended several books by Michael Crawley - any
>>strong feelings on these, or other suggestions?
>>
>>Thanks!
>>
>>Tyler
>>
>>--
>>Research is what I'm doing when I don't know what I'm doing.
>>                                      --Wernher von Braun
>>
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>>
> 
> 
> 
>



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