1 Oct 19:20
Mantel test with skew-symmetric matrices?
Hello All, I'm interested in using the mantel()and mantel.partial() functions in the 'vegan' R package to examine fish morphology in several lakes with respect to distance between lakes, lake elevation (above sea level) and various habitat measures. For example, several authors have postulated that jaw length varies with habitat conditions, but jaw length, lake distance, elevation and the habitat measures co-vary. Applying a partial Mantel to control for elevation or lake distance seems like a good way of attacking the problem. Typically, Mantel tests are performed using symmetrical distance matrices based upon absolute distances. For example, a symmetrical matrix of distances between 3 lakes might look like this: 0 7 3 7 0 4 3 4 0 This makes sense with distance data (miles, km, etc), but information is lost on the direction of effect between lakes with data such as jaw length or elevation. Instead, a so-called skew-symmetric matrix can be generated, which would instead look something like this: 0 7 3 -7 0 -4 -3 4 0 I have two questions: 1) Is it wrong to use skew-symmetric matrices - i.e. should I just forget about the skew data and use absolute values to make all my matrices symmetric? The original Mantel paper (1967, Cancer Research, 2: 209-220) does talk about skew-symmetric matrices, but the published applications I've come across only seem to use symmetric matrices.(Continue reading)
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