----- Forwarded message from henry wallace <[email protected]> -----

Date: Tue, 30 Jul 2013 16:56:36 -0400
From: henry wallace <[email protected]>
Reply-To: henry wallace <[email protected]>
Subject: MorphoJ and procrustes ANOVA
To: [email protected]

Hello to all,

My questions is about using the MorphoJ to implement the procrustes ANOVA.

I have need to find measurement errors in my data. This is step 1.  In the end, I need to discern a difference, or no difference, between two groups. This is step 2.

For step 1--finding measurement errors.

I have for each specimen 2 photographs digital. Each photograph was landmarked two times. This following the guidelines of MorphoJ User Manual page. Specimens are flat (fish) and is a 2 dimensional analyses.

With object symmetry selected, "Individuals" are the specimens, and "Error 1" is for image variation. "Error 2" is for landmarking variation. Specimens are fixed. Image and landmarkings are random. Any residual left over after effects are estimated is due to within group variations beyond what myself has introduced into the data. Is this correct in interpretation?


For  step 2-- finding differences.

According to Users Manual page,  I can select a second fixed main effect. This can be my grouping of specimens, no? This will tell me if groups are significantly differentiated above expectation given within group variation, no?

If yes, is the comparison "corrected" for random variations in image and landmarkings? I ask because Users Manual says that output contains random factor matrices, one of which has "The variance and covariance components...corrected for 'lower-level' effect." Is this correct in interpretation?

To clarify previous question, if I export this outputted individual matrix to another softwares, such as SPSS, may I use it to perform ANOVA to t-test for my two groups, without needing to worry about measurement error effects?

If the answer is no, I cannot interpret the individual matrix output from procrustes ANOVA this way, may I simply average my data within individuals and then perform t-test in SPSS or the like?

To clarify previous question, may I use MorphoJ Procrustes ANOVA to only measure the measurement errors in my own data, which I subsequently subject to averaging within specimen and finally a t-test for 2 groups in another software?

--Henry
Beloit College



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