. Author manuscript; available in PMC: 2020 Aug 21.

Published in final edited form as: Comput Stat Data Anal. 2012 Jan 24;56(7):2183–2205. doi: 10.1016/j.csda.2012.01.010

Table 9.

The Structural Error Metric SErr(D) for Pairs of Nodes Scored with the ILVS Method for Different Combinations of Observational Data and Data Resulting from Experimental Manipulation.

Obsv# \Exp#	0	50	100	300	500
0	0.8333	0.7627	0.7592	0.6771	0.6579
50	0.8719	0.5120	0.4678	0.3671	0.3144
100	0.8809	0.5273	0.4816	0.3575	0.3074
300	0.8755	0.4684	0.4294	0.3342	0.2543
500	0.8734	0.4522	0.4116	0.3353	0.2384
(a) E₁ and E₂

Obsv# \Exp#	0	50	100	300	500
0	0.8333	0.6664	0.6284	0.5513	0.5442
50	0.4438	0.2844	0.2684	0.1263	0.1202
100	0.3469	0.2265	0.2204	0.1304	0.1183
300	0.1965	0.1340	0.1282	0.0905	0.0868
500	0.1703	0.1194	0.1210	0.0860	0.0812
(b) E₃

Obsv# \Exp#	0	50	100	300	500
0	0.8333	0.9229	0.8939	0.8693	0.7609
50	0.9077	0.9978	0.9976	0.9988	0.9966
100	0.9054	0.9957	0.9962	0.9976	0.9981
300	0.8973	0.9981	0.9959	0.9988	0.9994
500	0.8494	0.9991	0.9992	0.9998	0.9999
(c) E₄ and E₅

Obsv# \Exp#	0	50	100	300	500
0	0.8333	0.5477	0.5073	0.5004	0.5002
50	0.8864	0.6138	0.6483	0.6301	0.6301
100	0.8715	0.5787	0.5850	0.5391	0.5420
300	0.8501	0.5788	0.5212	0.4463	0.4540
500	0.8210	0.5161	0.5140	0.2793	0.2747
(d) E₆