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Table 2 Results from STRUCTURE 2.0 on the Pima-Surui data with 100 randomly selected markers without missing genotypes.

From: A non-parametric approach to population structure inference using multilocus genotypes

K a

Run 1b

Run 2b

Run 3b

Run 4b

Run 5b

1

-10849.6

-10847.8

-10850.1

-10848.9

-10849.5

2

-9616.9

-9619.3

-9619.4

-9629.2

-9614.2

3

-9417

-9418.3

-9412.9

-9529.3

-9498.3

4

-9648.8

-9369.8

-9557

-9397.9

-9445.7

5

-9303.7

-9472.3

-9346.6

-9405.1

-9317

6

-9541.6

-10457.2

-9315.6

-9484.1

-11348.8

7

-9408.4

-10576.9

-10151.4

-9443.4

-10938.6

8

-9451.9

-9369.1

-10715.4

-9393.1

-10304.5

9

-10403.1

-9450.7

-9489.1

-10100.8

-9205.1

  1. aK is the number of clusters/subpopulations; bDifferent runs of STRUCTURE 2.0.