TdcsFrameBetween/Behavioral data + R-script/Subj4_block1_stim2.dat

subjID	choice	RT	blockNo	stim	InitRew	RisktoLoose	GainLossTr	RiskFeedback
4	1	1.501	1	2	25	60	0	21
4	1	1.162	1	2	25	20	1	22
4	0	1.009	1	2	100	20	1	0
4	1	1.04	1	2	75	60	1	72
4	1	1.244	1	2	50	20	0	51
4	0	1.369	1	2	50	60	1	0
4	1	.878	1	2	75	40	1	71
4	1	1.518	1	2	75	80	1	71
4	1	2.11	1	2	25	60	0	21
4	0	2.244	1	2	50	40	0	0
4	1	.738	1	2	25	60	1	21
4	0	1.991	1	2	25	80	1	0
4	1	1.156	1	2	50	20	1	52
4	1	1.741	1	2	50	20	1	51
4	0	1.346	1	2	100	40	0	0
4	1	2.245	1	2	25	60	1	21
4	0	1.153	1	2	75	40	0	0
4	1	1.9	1	2	75	80	1	71
4	1	1.635	1	2	100	20	1	102
4	1	1.891	1	2	100	40	1	102
4	0	1.275	1	2	50	60	0	0
4	1	.859	1	2	100	60	1	101
4	0	1.82	1	2	25	20	0	0
4	1	1.396	1	2	75	60	0	71
4	1	1.261	1	2	75	20	0	72
4	1	1.762	1	2	25	40	1	21
4	1	1.667	1	2	100	60	1	101
4	1	1.956	1	2	50	40	0	52
4	0	1.225	1	2	100	80	0	0
4	0	1.09	1	2	50	80	1	0
4	1	1.102	1	2	25	40	1	22
4	1	1.924	1	2	25	80	1	22
4	0	1.726	1	2	25	20	0	0
4	1	1.386	1	2	75	60	1	71
4	0	1.626	1	2	25	40	0	0
4	0	1.19	1	2	25	80	0	0
4	1	1.493	1	2	50	80	1	51
4	1	2.328	1	2	75	20	1	71
4	0	1.209	1	2	100	40	0	0
4	0	2.202	1	2	75	20	0	0
4	1	1.379	1	2	50	80	0	51
4	1	2.325	1	2	100	40	1	102
4	1	1.603	1	2	50	60	1	51
4	0	1.777	1	2	25	20	1	0
4	1	.873	1	2	25	40	0	21
4	0	1.549	1	2	50	80	0	0
4	1	1.503	1	2	75	40	0	72
4	0	2.093	1	2	75	80	0	0
4	1	.903	1	2	75	60	0	72
4	1	2.094	1	2	100	80	1	101
4	1	1.199	1	2	50	60	0	52
4	0	2.004	1	2	25	80	0	0
4	1	1.481	1	2	100	60	0	101
4	0	1.835	1	2	75	40	1	0
4	0	1.931	1	2	100	20	0	0
4	1	1.15	1	2	75	20	1	72
4	1	1.322	1	2	50	40	1	52
4	0	1.7	1	2	50	40	1	0
4	0	2.181	1	2	100	80	1	0
4	1	1.083	1	2	75	80	0	72
4	1	2.039	1	2	100	80	0	101
4	0	2.182	1	2	100	60	0	0
4	0	1.801	1	2	100	20	0	0
4	1	2.241	1	2	50	20	0	52
4	0	2.552	1	2	50	80	1	0
4	1	1.126	1	2	25	60	1	22
4	1	1.737	1	2	50	60	1	51
4	1	2.482	1	2	75	40	1	71
4	1	3.974	1	2	100	80	0	101
4	1	2.861	1	2	75	60	1	71
4	0	1.953	1	2	75	40	1	0
4	1	1.774	1	2	25	60	0	21
4	0	2.59	1	2	75	40	0	0
4	1	4.93	1	2	100	80	0	101
4	0	1.545	1	2	100	60	0	0
4	1	2.654	1	2	100	20	1	102
4	1	2.255	1	2	75	80	0	71
4	0	1.3	1	2	25	40	1	0
4	0	1.676	1	2	25	80	0	0
4	1	2.44	1	2	100	80	1	102
4	0	2.343	1	2	25	40	1	0
4	1	2.008	1	2	75	60	1	71
4	0	1.439	1	2	100	40	0	0
4	0	1.427	1	2	50	80	0	0
4	0	2.114	1	2	100	20	0	0
4	1	1.872	1	2	100	80	1	101
4	0	2.458	1	2	25	40	0	0
4	1	1.628	1	2	25	20	1	22
4	1	2.262	1	2	100	20	1	102
4	1	.979	1	2	100	40	1	102
4	0	2.502	1	2	100	40	0	0
4	1	1.295	1	2	50	60	0	51
4	0	1.56	1	2	50	40	0	0
4	1	2.094	1	2	25	80	0	21
4	1	1.177	1	2	50	80	1	51
4	1	1.756	1	2	50	40	1	51
4	0	2.377	1	2	25	60	1	0
4	1	3.071	1	2	25	20	1	21
4	1	2.829	1	2	75	60	0	71
4	1	2.811	1	2	50	20	0	52
4	1	3.229	1	2	100	20	0	102
4	1	3.149	1	2	25	40	0	22
4	0	2.914	1	2	25	80	1	0
4	0	1.879	1	2	50	60	0	0
4	0	3.197	1	2	100	60	1	0
4	0	2.503	1	2	75	80	0	0
4	0	2.295	1	2	100	60	1	0
4	1	1.901	1	2	75	20	1	72
4	1	2.552	1	2	25	20	0	22
4	1	1.785	1	2	25	60	0	22
4	0	1.929	1	2	50	60	1	0
4	1	2.867	1	2	100	60	0	101
4	1	3.315	1	2	75	40	0	72
4	0	2.293	1	2	50	20	1	0
4	1	2.134	1	2	75	20	0	72
4	1	1.826	1	2	50	20	1	52
4	0	2.433	1	2	50	80	0	0
4	0	1.929	1	2	75	20	0	0
4	0	2.269	1	2	100	40	1	0
4	1	2.056	1	2	75	80	1	72
4	1	2.067	1	2	25	20	0	22
4	0	1.698	1	2	75	60	0	0
4	1	2.38	1	2	50	40	1	52
4	0	2.176	1	2	75	80	1	0
4	1	1.504	1	2	50	40	0	52
4	1	2.094	1	2	50	20	0	51
4	1	.911	1	2	75	20	1	72
4	1	2.121	1	2	25	80	1	21