. 2016 Dec 14;6:39031. doi: 10.1038/srep39031

Table 3. Type-I and type-II functional divergence estimated by Gu’s statistics.

Type-I Divergence		Type-II Divergence
θ_I ± SE^a	0.039 ± 0.074	θ_II ± SE^d	1.675 ± 0.380
Z-score (P value)	0.074 (0.296)	Z-score (P value)	4.412 (<0.00001)
θ_IML ± SE^b	0.462 ± 0.240	a_R/π_R^e	4.453
LRT θ_I (P value)^c	3.694 (0.055)	G_R/G_C^f	1.456
		N/C/R^g	230.9/8.3/14.8
		F00,N/C/R^h	0.810/0.021/0.009

^aThe estimate of functional divergence coefficient θ_I with standard error by a model-free method.

^bMaximum likelihood estimate of θ_I and standard error.

^cThe log score for the likelihood ratio test against the null θ_I = 0.

^dThe estimate of functional divergence coefficient θ_II with standard error.

^eThe ratio of radical change under functional divergence (a_R) versus nonfunctional divergence (π_R).

^fThe ratio of proportion of radical change (G_R) versus conserved change (G_C);

^gThe numbers of sites indicate no difference (N), conserved difference (C), and radical differences (R).

^hProportion of no change (F00,N), radical change (F00,R), and conserved change (F00,C) of amino acids between clusters but “no change” within clusters.