Thank you, Emma. I definitely wouldn't want any fairy casualties caused by 
my data analyses!!! 


On Tuesday, February 10, 2015 at 2:38:43 PM UTC-8, Emma Sherratt wrote:
>
> Gabi,
>
> If you are interested in the relationship between a set of shape variables 
> (your Procrustes coordinates) and a single variable (e.g. precipitation), 
> you could use a Multivariate Regression in MorphoJ, or better, a Procrustes 
> ANOVA (which is procD.lm() in geomorph. Not sure if the Procrustes ANOVA in 
> morphoJ can do this...). If you have a set of environmental variables and 
> wish for them to be treated together, maybe 2 block partial least squares 
> can be used. 
> I would NOT use a single PC axis in a bivariate analysis of correlation 
> with an environmental variable. Use all the shape variables and a 
> Multidimensional method such as multivariate regression or Procrustes 
> ANOVA. 
>
> Good luck!
>
> Emma
>
> P.S. It my own personal opinion, but every time shape data is reduced to a 
> few PC axes and used in an analysis, a fairy dies... ;)
>
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
>
> Emma Sherratt, PhD.
>
> Lecturer in Zoology,
> Zoology Division, School of Environmental and Rural Science, 
> Room L120 Bldg C02, 
> University of New England, 
> Armidale, NSW, Australia, 2351
> Tel: +61 2 6773 5041
> email: emma.s...@une.edu.au <javascript:>
>
> Caecilians are legless amphibians...
>
> *                      __
>     (\   .-.   .-.   /_")
>      \\_//^\\_//^\\_//
>       `"`   `"`   `"`*
>
> learn more about them here: www.emmasherratt.com/caecilians
>
>
>
>
> On 11 February 2015 at 09:28, gnavas <gna...@mlml.calstate.edu 
> <javascript:>> wrote:
>
>> Hi guys,
>>
>> Thanks a ton for your quick responses. Emma, the CV scores were so 
>> tempting to use for comparison to other variables...What would you suggest 
>> would be a more appropriate index to use in order to compare the shape 
>> ordination results to say, environmental variables, such as sediment size 
>> (I am studying clam morphology differences)?
>>
>> On Tuesday, February 10, 2015 at 2:00:04 PM UTC-8, Emma Sherratt wrote:
>>>
>>> Gabi,
>>>
>>> While Michael is correct i how you can export the CV scores from 
>>> MorphoJ, I would highly recommend against exporting the CV scores to plot 
>>> against other parameters. The reason being that CVA should not be used like 
>>> Principal Components Analysis. CVA axes should be used for inspecting the 
>>> data for the aspects of shape that delimit and discriminate between two or 
>>> more groups. Not as reduced axes for use in correlation tests. 
>>>
>>> Emma
>>>
>>>
>>>
>>> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
>>>
>>> Emma Sherratt, PhD.
>>>
>>> Lecturer in Zoology,
>>> Zoology Division, School of Environmental and Rural Science, 
>>> Room L120 Bldg C02, 
>>> University of New England, 
>>> Armidale, NSW, Australia, 2351
>>> Tel: +61 2 6773 5041
>>> email: emma.s...@une.edu.au
>>>
>>> Caecilians are legless amphibians...
>>>
>>> *                      __
>>>     (\   .-.   .-.   /_")
>>>      \\_//^\\_//^\\_//
>>>       `"`   `"`   `"`*
>>>
>>> learn more about them here: www.emmasherratt.com/caecilians
>>>
>>>
>>>
>>>
>>> On 11 February 2015 at 08:33, gnavas <gna...@mlml.calstate.edu> wrote:
>>>
>>>> Dear Morphometrics Wizards,
>>>>
>>>> I have 2 questions for which I am hoping to get help on:
>>>>
>>>> Question 1. CVA analysis: I have 6 sites. Within each site I have at 
>>>> least 22 samples. When I ran a CVA comparison on these 6 sites in Morpho 
>>>> J. 
>>>> I was hoping to find a way to get an actual value for each of my samples 
>>>> that plotted. So, for instance, CV1 values for each specimen, and the same 
>>>> for CV2. In the results tab, I can only find data relevant to my landmarks 
>>>> and canonical variates coefficients relating to lanmarks.
>>>>
>>>> I would love to figure out a way to export my CV1 and CV2 values for 
>>>> each specimen to then plot that against other parameters that may be 
>>>> effecting shape at those 2 or more canonical variate axes. Has anyone run 
>>>> into this problem, and found a solution?
>>>>
>>>> Question 2. Discriminant Analysis: 
>>>> Again, 6 sites with 22 samples, but this time I was only able to 
>>>> compare 2 sites at a time. Has anyone ever been able to run 1 site against 
>>>> all remaining sites? It would be great to get an idea of how my sites 
>>>> compare to all others, rather than to just one other at a time. I suspect 
>>>> I 
>>>> have to play with my classifier variables, but I am not sure how to go 
>>>> about that. At this point, I have made 1 classifier variable that allows 
>>>> me 
>>>> to distinguish the different sites.
>>>>
>>>> If any of you have run into this or simply know how to do this, please 
>>>> let me know. I am also happy to give more detail on my study if that would 
>>>> help?
>>>>
>>>> Thank you in advance!
>>>> Gabi
>>>>
>>>>  -- 
>>>> MORPHMET may be accessed via its webpage at 
>>>> http://www.morphometrics.org
>>>>
>>>> To unsubscribe from this group and stop receiving emails from it, send 
>>>> an email to morphmet+u...@morphometrics.org.
>>>>
>>>
>>>  -- 
>> MORPHMET may be accessed via its webpage at http://www.morphometrics.org
>>
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>>
>
>

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