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doi
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TdcsFrameBetween
forked from NeuroIBB/TdcsFrameBetween
DOI
10.12751/g-node.jeqr7r
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TdcsFrameBet...
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Behavioral data + R-script
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Subj59_block1_stim1.dat

Subj59_block1_stim1.dat 3.3 KB
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  1. subjID	choice	RT	blockNo	stim	InitRew	RisktoLoose	GainLossTr	RiskFeedback
    2. 

  2. 59	1	0.820	1	1	75	20	1	72
    3. 

  3. 59	1	1.671	1	1	50	20	0	52
    4. 

  4. 59	1	1.001	1	1	75	40	0	72
    5. 

  5. 59	0	1.087	1	1	75	60	0	0
    6. 

  6. 59	1	1.318	1	1	25	40	0	21
    7. 

  7. 59	0	1.494	1	1	50	80	1	0
    8. 

  8. 59	0	1.183	1	1	50	80	0	0
    9. 

  9. 59	1	0.862	1	1	25	20	0	21
    10. 

  10. 59	1	1.023	1	1	25	40	1	22
    11. 

  11. 59	1	0.956	1	1	25	40	0	22
    12. 

  12. 59	1	0.930	1	1	75	20	0	72
    13. 

  13. 59	0	1.160	1	1	50	60	0	0
    14. 

  14. 59	1	1.322	1	1	50	20	1	52
    15. 

  15. 59	0	1.284	1	1	100	80	0	0
    16. 

  16. 59	0	1.690	1	1	75	80	1	0
    17. 

  17. 59	0	1.099	1	1	75	80	1	0
    18. 

  18. 59	0	1.088	1	1	25	40	1	0
    19. 

  19. 59	1	1.077	1	1	25	60	0	21
    20. 

  20. 59	1	1.955	1	1	100	60	1	101
    21. 

  21. 59	1	0.870	1	1	75	20	1	72
    22. 

  22. 59	0	1.190	1	1	75	40	1	0
    23. 

  23. 59	0	2.045	1	1	50	40	1	0
    24. 

  24. 59	1	0.962	1	1	50	40	0	51
    25. 

  25. 59	0	0.838	1	1	25	80	1	0
    26. 

  26. 59	0	0.921	1	1	50	80	1	0
    27. 

  27. 59	0	1.798	1	1	100	60	1	0
    28. 

  28. 59	0	1.025	1	1	25	60	1	0
    29. 

  29. 59	0	1.427	1	1	75	80	0	0
    30. 

  30. 59	1	1.207	1	1	50	40	1	52
    31. 

  31. 59	0	1.405	1	1	75	60	0	0
    32. 

  32. 59	0	1.000	1	1	25	60	1	0
    33. 

  33. 59	1	0.778	1	1	25	20	0	22
    34. 

  34. 59	1	1.034	1	1	100	40	1	101
    35. 

  35. 59	0	0.950	1	1	75	80	0	0
    36. 

  36. 59	1	0.874	1	1	25	20	1	21
    37. 

  37. 59	0	1.285	1	1	50	60	1	0
    38. 

  38. 59	0	1.407	1	1	25	20	1	0
    39. 

  39. 59	0	1.472	1	1	50	40	0	0
    40. 

  40. 59	1	0.944	1	1	100	20	1	102
    41. 

  41. 59	1	0.849	1	1	100	20	1	101
    42. 

  42. 59	0	0.988	1	1	25	80	0	0
    43. 

  43. 59	0	1.295	1	1	50	20	0	0
    44. 

  44. 59	0	1.372	1	1	75	60	1	0
    45. 

  45. 59	0	1.224	1	1	50	80	0	0
    46. 

  46. 59	1	0.668	1	1	100	20	0	102
    47. 

  47. 59	0	0.895	1	1	100	80	1	0
    48. 

  48. 59	1	0.869	1	1	100	20	0	101
    49. 

  49. 59	1	1.735	1	1	100	40	1	102
    50. 

  50. 59	0	0.787	1	1	75	60	1	0
    51. 

  51. 59	0	1.041	1	1	100	80	0	0
    52. 

  52. 59	0	1.063	1	1	75	40	0	0
    53. 

  53. 59	1	3.708	1	1	100	40	0	102
    54. 

  54. 59	0	0.935	1	1	75	40	1	0
    55. 

  55. 59	0	0.941	1	1	100	60	0	0
    56. 

  56. 59	0	0.773	1	1	100	60	0	0
    57. 

  57. 59	0	0.999	1	1	50	60	1	0
    58. 

  58. 59	0	0.634	1	1	100	80	1	0
    59. 

  59. 59	0	0.869	1	1	25	80	0	0
    60. 

  60. 59	1	1.168	1	1	50	60	0	52
    61. 

  61. 59	1	0.776	1	1	100	40	0	101
    62. 

  62. 59	1	0.690	1	1	75	20	0	72
    63. 

  63. 59	0	0.970	1	1	25	80	1	0
    64. 

  64. 59	1	0.897	1	1	50	20	1	52
    65. 

  65. 59	0	0.891	1	1	25	60	0	0
    66. 

  66. 59	0	0.762	1	1	100	80	1	0
    67. 

  67. 59	0	1.164	1	1	25	40	1	0
    68. 

  68. 59	0	1.070	1	1	25	60	0	0
    69. 

  69. 59	1	0.766	1	1	50	20	1	52
    70. 

  70. 59	0	0.759	1	1	100	80	1	0
    71. 

  71. 59	1	0.858	1	1	75	40	0	72
    72. 

  72. 59	1	0.982	1	1	100	20	1	102
    73. 

  73. 59	0	1.183	1	1	50	80	1	0
    74. 

  74. 59	1	1.056	1	1	100	60	0	102
    75. 

  75. 59	0	0.878	1	1	25	80	0	0
    76. 

  76. 59	0	0.889	1	1	25	60	1	0
    77. 

  77. 59	1	0.852	1	1	25	20	1	21
    78. 

  78. 59	0	0.880	1	1	100	80	0	0
    79. 

  79. 59	0	0.971	1	1	50	80	0	0
    80. 

  80. 59	1	1.383	1	1	25	40	1	21
    81. 

  81. 59	0	0.756	1	1	75	60	0	0
    82. 

  82. 59	1	0.627	1	1	50	20	1	52
    83. 

  83. 59	0	0.746	1	1	50	80	0	0
    84. 

  84. 59	0	0.630	1	1	75	60	1	0
    85. 

  85. 59	1	0.702	1	1	100	20	1	101
    86. 

  86. 59	0	0.894	1	1	100	80	0	0
    87. 

  87. 59	1	0.951	1	1	75	40	1	71
    88. 

  88. 59	1	0.891	1	1	75	20	0	72
    89. 

  89. 59	0	0.870	1	1	25	40	0	0
    90. 

  90. 59	1	0.724	1	1	50	20	0	51
    91. 

  91. 59	0	0.721	1	1	50	60	1	0
    92. 

  92. 59	1	0.885	1	1	25	20	1	22
    93. 

  93. 59	0	1.774	1	1	50	40	1	0
    94. 

  94. 59	1	0.983	1	1	25	20	0	22
    95. 

  95. 59	0	0.779	1	1	25	80	1	0
    96. 

  96. 59	1	0.799	1	1	50	20	0	52
    97. 

  97. 59	1	1.140	1	1	75	40	0	72
    98. 

  98. 59	0	0.837	1	1	75	80	1	0
    99. 

  99. 59	0	0.695	1	1	100	60	1	0
    100. 

  100. 59	0	1.264	1	1	50	60	0	0
    101. 

  101. 59	0	0.962	1	1	25	80	0	0
    102. 

  102. 59	1	0.824	1	1	75	20	1	71
    103. 

  103. 59	0	1.452	1	1	25	40	0	0
    104. 

  104. 59	1	1.035	1	1	100	40	1	102
    105. 

  105. 59	0	1.027	1	1	75	80	0	0
    106. 

  106. 59	1	0.927	1	1	100	40	0	102
    107. 

  107. 59	0	1.044	1	1	25	60	1	0
    108. 

  108. 59	0	1.178	1	1	50	60	1	0
    109. 

  109. 59	1	0.743	1	1	50	40	0	51
    110. 

  110. 59	0	1.039	1	1	75	80	0	0
    111. 

  111. 59	1	1.437	1	1	75	60	0	72
    112. 

  112. 59	1	0.898	1	1	100	20	0	101
    113. 

  113. 59	0	0.853	1	1	25	80	1	0
    114. 

  114. 59	0	1.077	1	1	100	60	0	0
    115. 

  115. 59	1	0.836	1	1	100	40	0	102
    116. 

  116. 59	0	0.804	1	1	25	60	0	0
    117. 

  117. 59	1	0.900	1	1	75	20	1	72
    118. 

  118. 59	0	0.680	1	1	100	60	1	0
    119. 

  119. 59	0	0.856	1	1	50	80	1	0
    120. 

  120. 59	1	0.659	1	1	75	20	0	71
    121. 

  121. 59	0	1.021	1	1	50	60	0	0
    122. 

  122. 59	0	0.978	1	1	75	40	1	0
    123. 

  123. 59	0	0.764	1	1	50	40	1	0
    124. 

  124. 59	1	0.737	1	1	100	20	0	102
    125. 

  125. 59	0	0.837	1	1	75	60	1	0
    126. 

  126. 59	0	0.732	1	1	75	80	1	0
    127. 

  127. 59	1	0.897	1	1	25	20	0	21
    128. 

  128. 59	1	0.993	1	1	50	40	0	52
    129. 

  129. 59	0	0.795	1	1	100	40	1	0
    130.