TdcsFrameBetween/Behavioral data + R-script/Subj6_block2_stim2.dat

subjID	choice	RT	blockNo	stim	InitRew	RisktoLoose	GainLossTr	RiskFeedback
6	1	1.299	2	2	25	60	1	21
6	1	1.041	2	2	25	20	0	22
6	1	1.176	2	2	75	60	1	71
6	1	1.183	2	2	100	60	1	101
6	0	1.216	2	2	25	80	1	0
6	1	1.373	2	2	25	40	0	21
6	0	0.934	2	2	100	60	0	0
6	0	1.487	2	2	25	60	0	0
6	1	0.898	2	2	25	20	1	22
6	0	1.190	2	2	25	60	0	0
6	0	1.859	2	2	50	60	0	0
6	1	0.990	2	2	50	20	1	52
6	1	1.320	2	2	25	40	1	22
6	0	1.518	2	2	25	40	1	0
6	0	1.067	2	2	75	80	0	0
6	1	0.816	2	2	75	20	0	72
6	1	0.851	2	2	75	20	1	72
6	0	1.315	2	2	25	80	0	0
6	1	2.340	2	2	100	80	1	101
6	1	1.204	2	2	100	40	1	102
6	0	1.703	2	2	75	60	1	0
6	0	2.839	2	2	75	80	1	0
6	1	1.325	2	2	50	40	0	52
6	1	1.183	2	2	75	20	1	71
6	0	2.374	2	2	25	80	1	0
6	1	0.905	2	2	100	60	0	101
6	1	1.002	2	2	25	20	0	21
6	0	1.716	2	2	75	60	0	0
6	1	0.958	2	2	75	40	1	71
6	0	1.419	2	2	100	60	1	0
6	1	0.888	2	2	50	20	0	52
6	1	0.876	2	2	75	40	1	72
6	0	1.139	2	2	50	80	1	0
6	0	0.942	2	2	100	80	1	0
6	0	1.441	2	2	100	80	0	0
6	1	0.849	2	2	50	40	1	52
6	1	1.104	2	2	75	40	0	72
6	1	1.184	2	2	50	20	1	52
6	1	1.120	2	2	100	20	0	102
6	0	0.919	2	2	50	80	0	0
6	1	0.949	2	2	25	20	1	22
6	0	0.921	2	2	75	60	0	0
6	1	2.363	2	2	50	60	1	51
6	1	0.741	2	2	100	20	0	102
6	0	0.963	2	2	25	60	1	0
6	1	0.783	2	2	100	20	1	102
6	0	1.257	2	2	100	40	1	0
6	1	1.067	2	2	75	40	0	72
6	0	0.916	2	2	25	80	0	0
6	1	0.997	2	2	50	60	0	52
6	1	0.869	2	2	100	40	0	101
6	0	0.801	2	2	100	80	0	0
6	0	1.181	2	2	50	80	0	0
6	1	0.916	2	2	100	40	0	102
6	1	1.002	2	2	75	20	0	72
6	1	1.151	2	2	100	20	1	102
6	1	1.070	2	2	50	20	0	52
6	0	1.128	2	2	75	80	1	0
6	0	1.452	2	2	75	80	0	0
6	1	1.012	2	2	25	40	0	22
6	1	1.285	2	2	50	40	1	52
6	0	0.903	2	2	50	60	1	0
6	1	1.460	2	2	50	40	0	52
6	0	1.011	2	2	50	80	1	0
6	1	0.847	2	2	50	40	0	52
6	1	1.655	2	2	100	60	1	102
6	1	1.237	2	2	25	40	1	22
6	0	0.917	2	2	100	60	0	0
6	1	0.866	2	2	50	40	1	51
6	0	0.939	2	2	25	80	1	0
6	1	0.916	2	2	75	20	0	72
6	1	0.822	2	2	75	20	0	72
6	1	1.336	2	2	75	40	1	72
6	1	1.640	2	2	75	40	1	71
6	1	1.273	2	2	25	40	0	22
6	0	0.847	2	2	100	80	1	0
6	1	0.991	2	2	50	20	0	52
6	1	1.774	2	2	25	60	1	21
6	0	1.522	2	2	100	80	1	0
6	1	0.732	2	2	75	20	1	72
6	1	1.260	2	2	75	60	1	72
6	1	1.180	2	2	50	40	1	51
6	1	1.029	2	2	25	20	0	21
6	0	0.829	2	2	25	80	0	0
6	0	1.173	2	2	50	80	1	0
6	1	0.710	2	2	75	80	0	71
6	1	1.052	2	2	25	20	0	22
6	0	1.015	2	2	50	80	1	0
6	1	0.929	2	2	50	60	1	51
6	1	1.121	2	2	100	40	0	101
6	1	1.096	2	2	75	60	1	72
6	0	1.027	2	2	75	60	0	0
6	1	0.992	2	2	50	40	0	52
6	0	0.900	2	2	25	60	0	0
6	1	1.344	2	2	100	60	0	102
6	1	1.106	2	2	100	40	1	102
6	1	1.459	2	2	25	60	1	21
6	1	0.823	2	2	100	20	0	102
6	0	0.969	2	2	75	60	0	0
6	0	0.960	2	2	50	60	0	0
6	1	1.205	2	2	50	60	0	51
6	0	1.355	2	2	100	80	0	0
6	1	0.768	2	2	100	40	0	102
6	0	1.874	2	2	100	60	1	0
6	1	0.872	2	2	25	40	1	22
6	1	0.768	2	2	100	20	0	102
6	1	1.325	2	2	50	60	1	52
6	1	1.449	2	2	75	40	0	72
6	0	0.853	2	2	100	80	0	0
6	1	1.333	2	2	100	20	1	101
6	0	1.111	2	2	75	80	1	0
6	1	0.858	2	2	50	20	0	52
6	0	1.737	2	2	25	60	0	0
6	0	1.018	2	2	50	80	0	0
6	1	0.784	2	2	50	20	1	52
6	1	1.080	2	2	25	40	0	22
6	1	0.788	2	2	50	20	1	52
6	0	0.975	2	2	50	80	0	0
6	0	0.869	2	2	75	80	0	0
6	0	1.021	2	2	25	80	0	0
6	1	1.056	2	2	75	40	0	72
6	1	0.988	2	2	100	20	1	102
6	1	0.853	2	2	25	20	1	21
6	1	1.040	2	2	25	20	1	22
6	0	1.111	2	2	75	80	1	0
6	1	0.882	2	2	75	20	1	72
6	0	1.504	2	2	25	80	1	0
6	1	0.733	2	2	100	40	1	101
6	0	0.919	2	2	25	80	1	0
6	1	0.846	2	2	75	40	1	71
6	1	0.798	2	2	50	20	0	52
6	1	0.734	2	2	50	20	1	52
6	1	1.325	2	2	100	40	1	101
6	1	0.765	2	2	50	20	1	52
6	0	0.993	2	2	25	60	1	0
6	0	1.277	2	2	50	60	1	0
6	0	0.827	2	2	75	80	1	0
6	0	1.363	2	2	75	60	0	0
6	1	1.011	2	2	25	40	0	22
6	1	0.988	2	2	100	40	0	102
6	1	0.883	2	2	50	40	0	52
6	1	0.888	2	2	75	20	0	72
6	0	0.972	2	2	25	60	1	0
6	0	0.782	2	2	100	80	1	0
6	1	0.783	2	2	25	20	0	21
6	1	0.781	2	2	100	20	0	102
6	1	1.210	2	2	25	40	1	21
6	1	0.841	2	2	75	40	1	72
6	1	0.745	2	2	25	20	1	22
6	1	0.852	2	2	75	20	1	71
6	1	0.802	2	2	75	20	1	72
6	0	1.509	2	2	50	80	1	0
6	0	1.176	2	2	75	80	0	0
6	0	1.343	2	2	25	60	0	0
6	1	0.974	2	2	75	40	0	72
6	0	1.437	2	2	100	80	1	0
6	1	1.217	2	2	50	60	1	51
6	1	0.849	2	2	25	20	1	21
6	1	0.977	2	2	100	20	1	102
6	0	1.347	2	2	25	80	0	0
6	0	1.156	2	2	50	80	0	0
6	1	0.718	2	2	50	40	0	52
6	1	0.693	2	2	75	20	0	71
6	1	1.159	2	2	100	60	0	102
6	1	1.055	2	2	25	80	0	21
6	1	1.361	2	2	100	40	1	101
6	1	0.979	2	2	25	40	1	22
6	1	1.304	2	2	50	40	1	51
6	0	1.000	2	2	50	80	0	0
6	0	0.885	2	2	100	80	0	0
6	1	0.885	2	2	100	20	1	102
6	1	0.836	2	2	50	20	0	52
6	1	1.069	2	2	100	60	0	102
6	1	1.247	2	2	25	40	0	22
6	0	0.735	2	2	100	80	0	0
6	1	1.333	2	2	100	60	1	102
6	1	0.984	2	2	100	40	0	102
6	0	0.906	2	2	75	80	0	0
6	1	0.887	2	2	50	60	0	51
6	1	0.905	2	2	50	40	1	52
6	0	1.033	2	2	50	60	0	0
6	1	1.380	2	2	25	60	0	21
6	0	1.002	2	2	25	80	1	0
6	1	0.718	2	2	75	40	0	72
6	1	0.875	2	2	100	60	1	101
6	1	0.746	2	2	25	20	0	21
6	1	1.324	2	2	75	60	1	72
6	0	0.796	2	2	50	80	1	0
6	0	1.320	2	2	75	80	1	0
6	1	0.987	2	2	75	60	0	72
6	1	0.996	2	2	75	60	1	72
6	1	1.077	2	2	100	20	0	102