Table 2

Statistical support for whether the distribution of phenotypes for eco-morphological traits is composed of one or two normal distributions.

Character

Data

Goodness-of-fit

AICc for unimodal

AICc for bimodal

ΔAICc

Supported distribution


Lip size

Standardized area

P < 0.0001

-139.83

-448.46

308.64

Bimodal (strong support)

Body shape

PC1

P < 0.0001

-486.00

-1037.57

551.57

Bimodal (strong support)

Pharyngeal jaw

PC1

P < 0.0002

-411.53

-868.68

457.15

Bimodal (strong support)

Diet

MDS 1

P < 0.0001

83.53

64.05

19.48

Bimodal (strong support)

Stable isotope (13C)

13C defatted

P < 0.0008

139.41

134.52

4.89

Unimodal = bimodal

Stable isotope (15N)

15N

P < 0.0556

71.65

64.50

7.16

Bimodal (moderate support)


Data are composed of raw or multivariate data. Low P values for goodness-of-fit suggest poor fit of the data to a single normal distribution. ΔAICc is the difference in model AICc for a single- compared to a two-component model. Levels of support for one model over the other are described in the Methods. Frequency histograms and normality plots can be found in Additional File 7.

AICc, Akaike Information Criterion; MDS, multidimensional scaling.

Elmer et al. BMC Biology 2010 8:60   doi:10.1186/1741-7007-8-60

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