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Table 8 Multivariate model set evaluation for A4

From: Pigmentation in Drosophila melanogaster reaches its maximum in Ethiopia and correlates most strongly with ultra-violet radiation in sub-Saharan Africa

Model

Formula

k

RSS

AdjustedR 2

AICc

Model likelihood

w

g17

Temp + PC1

4

157.74

0.69

130.56

1.00

0.61

g08

UV + Temp

4

173.83

0.66

133.09

0.28

0.17

g11

UV + Silt

4

189.09

0.63

135.28

0.09

0.06

g16

Temp + Silt

4

195.87

0.61

136.19

0.06

0.04

g23

AtmP + Silt

4

196.90

0.61

136.33

0.06

0.03

g24

AtmP + PC1

4

199.13

0.61

136.62

0.05

0.03

g10

UV + AtmP

4

206.78

0.59

137.60

0.03

0.02

g19

RH + AtmP

4

210.71

0.58

138.09

0.02

0.01

g01

UV

3

250.36

0.52

139.76

0.01

0.01

g09

UV + RH

4

228.52

0.55

140.20

0.01

0.00

g20

RH + Silt

4

237.10

0.53

141.16

0.01

0.00

g27

All

9

112.68

0.71

141.16

0.00

0.00

g05

Silt

3

269.41

0.49

141.67

0.00

0.00

g13

UV + PC2

4

249.97

0.50

142.53

0.00

0.00

g12

UV + PC1

4

250.00

0.50

142.54

0.00

0.00

g04

AtmP

3

311.23

0.41

145.42

0.00

0.00

g02

Temp

3

323.71

0.39

146.44

0.00

0.00

g25

AtmP + PC2

4

297.46

0.41

147.06

0.00

0.00

g15

Temp + AtmP

4

298.47

0.41

147.14

0.00

0.00

g14

Temp + RH

4

305.03

0.40

147.71

0.00

0.00

g18

Temp + PC2

4

323.17

0.36

149.21

0.00

0.00

g21

RH + PC1

4

383.28

0.24

153.65

0.00

0.00

g22

RH + PC2

4

383.91

0.24

153.69

0.00

0.00

g06

PC1

3

430.20

0.18

153.84

0.00

0.00

g26

PC1 + PC2

4

390.20

0.23

154.11

0.00

0.00

g03

RH

3

454.76

0.14

155.28

0.00

0.00

g07

PC2

3

491.51

0.07

157.30

0.00

0.00

g28

naïve

2

548.85

0.00

157.60

0.00

0.00

  1. UV = UV index, Temp = average maximum temperature, RH = relative humidity, AtmP = atmospheric pressure, PC1 and PC2 = genetic principal components, k = number of parameter estimates, RSS = residual sum of squares, AICc = Akaike information criterion adjusted for the sample size, w = conditional model probability (likelihood of model i divided by the sum of model likelihoods).