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 <megalop...@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@r-project.org > > From: chrismco...@me.com > > Subject: Re: [R] discriminant function analysis > > Date: Tue, 16 Nov 2010 22:12:32 +0000 > > To: megalop...@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 <megalop...@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]] > > > > > > ______________________________________________ > > > R-help@r-project.org mailing list > > > https://stat.ethz.ch/mailman/listinfo/r-help > > > PLEASE do read the posting guide > > > http://www.R-project.org/posting-guide.html > > > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
