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Supplement 4

Measuring individual identity information in animal signals: Overview and performance of available identity metrics

Relationship between H

S

variants and PIC variants

PIC

betweentot

, PIC

betweenmeans

, and 2^ H

Snpergroup

are almost identical metrics as revealed by high linear correlations between them (R

2

(PIC

betweentot

vs. PIC

betweenmeans

) = 0.996; R

2

(PIC

betweenmeans

vs.

2^H

Snpergroup

) = 0.997; R

2

(PIC

betweentot

vs. 2^H

Snpergroup

) = 0.997). However, they differ in small important details. If there is essentially no individual variability in the data (individuality = 0.01), H

Snpergroup

correctly gives values around 0 (mean ± sd = 0.00 ± 0.05) while both PICs converge to higher values (PIC

betweentot

mean ± sd = 1.01 ± 0.05; PIC

betweenmeans

mean ± sd = 0.32

± 0.13) (see Figure S4.1 below).

Figure S4.1. Values of H

Snpergroup

, PIC

betweenmeans

, and PIC

betweentot

for 0 individuality in data.

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Metric Value

HSnpergroup PICbetweenmeans PICbetweentot

(2)

Supplement 4

Measuring individual identity information in animal signals: Overview and performance of available identity metrics

H

Snpergroup

and H

Svarcomp

were both independent of sampling but their absolute values were different. Interestingly, H

Svarcomp

was identical to 2 * H

Snpergroup

(linear regression: R2 = 1, intercept = 0.01, beta = 1.99).

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