[R] discriminant function analysis

[Chris Mcowen]

Hi,

I am not sure if it is more robust than a discriminant function but it is certainly capable if differentiating between species based on morphology. I used 12 measurements in my fish. 

What did your PCA results show?

Unfortunately I haven't got round to publishing my data yet but I can send you a paper by my supervisor who did a similar analysis looking at morphological differentiation in cichlids in Africa.

Chris

Sent from my iPhone

On 25 Nov 2010, at 20:30, Mike Gibson <megalops31 at hotmail.com> wrote:

> Sorry for the delay in getting back to you.  
>  
> I did use a PCA.  
>  
> I wanted to run a discriminant function as a comparison.  Is PCA more robust at detecting differences based on the morphometrics?  
>  
> Can you give me the details of your masters (title, school, ect) so I can reference it.  
>  
> Mike
>  
> > CC: r-help at r-project.org
> > From: chrismcowen at me.com
> > Subject: Re: [R] discriminant function analysis
> > Date: Tue, 16 Nov 2010 22:12:32 +0000
> > To: megalops31 at hotmail.com
> > 
> > Hi, 
> > 
> > I did this exact thing for my masters, with intertidal fish, I just used a PCA? have you tried that? 
> > 
> > Sent from my iPhone
> > 
> > On 16 Nov 2010, at 17:01, Mike Gibson <megalops31 at hotmail.com> wrote:
> > 
> > > 
> > > My objective is to look at differences in two species of fish from morphometric measurements. My morphometric measurements are head length, eye diameter, snout length, and measurements from tail to each fin. I want to use discrimanant function analyis to determine if there are differences between the two species. 
> > > 
> > > I am familiar with R but new to discrimannt function analysis. I want to learn how to run this analysis in R. My internet search has not been very successful. I did see refrence of the linear discriminant function (lda) in R but I am not sure if this is the correct function for me. 
> > > 
> > > Any advice and especially a reference to any examples would be greatly appreciated. 
> > > 
> > > Thanks. 
> > > 
> > > Mike 
> > > [[alternative HTML version deleted]]
> > > 
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