Table 2.

Absolute number of incorrect clades in maximum clade credibility (MCC), majority rule consensus (MRC), and maximum a posteriori (MAP) trees constructed for posterior distributions sampled from 100 replicate simulated data sets

	MCC		MRC		MAP
Number of characters	Mean (%)	Range (%)	Mean (%)	Range (%)	Mean (%)	Range (%)
100	10.5 (30.1)	520 (14.3–57.1)	2.7 (11.9)	0–7 (0–35)	14.8 (42.3)	5–22 (14.3–62.9)
1000	1.69 (4.8)	0–5 (0–14.3)	1.03 (3)	0–4 (0–12.1)	1.72 (4.9)	0–5 (0–14.3)
10,000	0.03 (0.1)	0–1 (0–2.9)	0.02 (0.1)	0–1 (0–2.9)	0.03 (0.1)	0–1 (0–2.9)

Note: The percentage of nodes that are incorrect for each consensus tree method are presented in parentheses.