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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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Subj5_block1_stim1.dat

Subj5_block1_stim1.dat 3.1 KB
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  1. subjID	choice	RT	blockNo	stim	InitRew	RisktoLoose	GainLossTr	RiskFeedback
    2. 

  2. 5	1	2.542	1	1	100	20	1	101
    3. 

  3. 5	0	1.783	1	1	100	80	0	0
    4. 

  4. 5	0	2.071	1	1	100	80	1	0
    5. 

  5. 5	0	2.599	1	1	75	60	0	0
    6. 

  6. 5	0	1.243	1	1	75	80	0	0
    7. 

  7. 5	0	3.926	1	1	50	60	0	0
    8. 

  8. 5	1	2.766	1	1	75	20	0	72
    9. 

  9. 5	0	1.389	1	1	50	80	1	0
    10. 

  10. 5	1	2.041	1	1	50	20	0	52
    11. 

  11. 5	0	0.883	1	1	25	60	1	0
    12. 

  12. 5	1	2.019	1	1	50	20	1	51
    13. 

  13. 5	0	1.892	1	1	75	40	1	0
    14. 

  14. 5	1	1.742	1	1	50	20	1	52
    15. 

  15. 5	0	2.299	1	1	25	60	1	0
    16. 

  16. 5	0	1.721	1	1	100	40	1	0
    17. 

  17. 5	0	1.473	1	1	100	60	0	0
    18. 

  18. 5	1	4.513	1	1	75	20	1	72
    19. 

  19. 5	0	1.106	1	1	50	40	1	0
    20. 

  20. 5	0	1.674	1	1	25	80	1	0
    21. 

  21. 5	0	1.045	1	1	50	80	0	0
    22. 

  22. 5	0	0.843	1	1	100	20	0	0
    23. 

  23. 5	1	1.443	1	1	50	40	0	0
    24. 

  24. 5	1	0.709	1	1	25	20	0	0
    25. 

  25. 5	0	1.696	1	1	50	60	1	0
    26. 

  26. 5	0	1.584	1	1	75	80	0	0
    27. 

  27. 5	1	1.048	1	1	50	40	0	0
    28. 

  28. 5	1	1.895	1	1	25	40	1	22
    29. 

  29. 5	0	0.907	1	1	25	40	1	22
    30. 

  30. 5	0	0.963	1	1	50	80	0	0
    31. 

  31. 5	0	1.645	1	1	100	40	0	0
    32. 

  32. 5	1	1.002	1	1	100	60	1	101
    33. 

  33. 5	0	1.547	1	1	75	60	1	0
    34. 

  34. 5	0	1.297	1	1	75	60	0	0
    35. 

  35. 5	0	0.975	1	1	100	40	0	0
    36. 

  36. 5	0	0.632	1	1	100	60	0	0
    37. 

  37. 5	1	1.832	1	1	75	40	0	0
    38. 

  38. 5	0	0.964	1	1	25	60	0	0
    39. 

  39. 5	1	1.447	1	1	100	40	1	101
    40. 

  40. 5	0	3.918	1	1	75	80	1	0
    41. 

  41. 5	0	1.565	1	1	25	80	1	0
    42. 

  42. 5	0	1.196	1	1	100	80	1	0
    43. 

  43. 5	1	1.411	1	1	75	40	0	0
    44. 

  44. 5	0	1.920	1	1	50	80	1	0
    45. 

  45. 5	1	1.212	1	1	100	20	1	101
    46. 

  46. 5	1	0.918	1	1	25	20	1	22
    47. 

  47. 5	0	0.791	1	1	75	60	1	0
    48. 

  48. 5	1	1.629	1	1	25	20	0	22
    49. 

  49. 5	0	0.995	1	1	75	80	1	0
    50. 

  50. 5	0	1.383	1	1	50	60	0	0
    51. 

  51. 5	0	1.085	1	1	25	80	0	0
    52. 

  52. 5	0	3.065	1	1	50	40	1	51
    53. 

  53. 5	1	0.773	1	1	25	40	0	0
    54. 

  54. 5	0	1.695	1	1	25	80	0	0
    55. 

  55. 5	0	3.870	1	1	50	60	1	0
    56. 

  56. 5	0	1.261	1	1	25	20	1	0
    57. 

  57. 5	0	0.755	1	1	100	60	1	0
    58. 

  58. 5	1	1.297	1	1	75	20	1	72
    59. 

  59. 5	1	0.890	1	1	25	40	0	0
    60. 

  60. 5	0	1.185	1	1	75	40	1	0
    61. 

  61. 5	0	2.882	1	1	100	20	0	0
    62. 

  62. 5	0	1.322	1	1	100	80	0	0
    63. 

  63. 5	0	0.746	1	1	25	60	0	0
    64. 

  64. 5	0	0.658	1	1	50	20	0	0
    65. 

  65. 5	1	1.212	1	1	75	20	0	72
    66. 

  66. 5	1	0.816	1	1	50	40	0	0
    67. 

  67. 5	1	0.977	1	1	75	40	1	71
    68. 

  68. 5	0	1.042	1	1	25	40	1	0
    69. 

  69. 5	0	0.777	1	1	25	40	0	0
    70. 

  70. 5	1	1.052	1	1	25	80	1	21
    71. 

  71. 5	0	1.024	1	1	100	20	0	0
    72. 

  72. 5	0	0.958	1	1	50	80	1	0
    73. 

  73. 5	0	1.421	1	1	50	40	1	0
    74. 

  74. 5	1	0.993	1	1	50	40	0	0
    75. 

  75. 5	0	0.643	1	1	75	40	0	0
    76. 

  76. 5	0	0.572	1	1	50	80	0	0
    77. 

  77. 5	0	0.877	1	1	100	40	0	0
    78. 

  78. 5	1	2.276	1	1	100	20	1	102
    79. 

  79. 5	0	1.358	1	1	50	80	1	0
    80. 

  80. 5	0	0.656	1	1	50	80	0	0
    81. 

  81. 5	0	3.024	1	1	100	40	1	0
    82. 

  82. 5	0	1.462	1	1	25	20	1	0
    83. 

  83. 5	0	1.087	1	1	75	60	0	0
    84. 

  84. 5	0	0.650	1	1	100	40	0	0
    85. 

  85. 5	1	1.438	1	1	100	20	1	102
    86. 

  86. 5	0	1.213	1	1	25	60	1	0
    87. 

  87. 5	0	0.867	1	1	50	40	1	0
    88. 

  88. 5	0	0.814	1	1	75	80	1	0
    89. 

  89. 5	1	1.183	1	1	75	20	1	72
    90. 

  90. 5	0	0.620	1	1	75	20	0	0
    91. 

  91. 5	0	0.412	1	1	75	20	0	0
    92. 

  92. 5	0	0.951	1	1	75	60	1	0
    93. 

  93. 5	0	0.780	1	1	75	60	0	0
    94. 

  94. 5	0	0.661	1	1	25	80	1	0
    95. 

  95. 5	0	0.653	1	1	100	60	0	0
    96. 

  96. 5	0	0.562	1	1	25	60	0	0
    97. 

  97. 5	0	0.748	1	1	100	40	1	0
    98. 

  98. 5	0	0.484	1	1	75	80	0	0
    99. 

  99. 5	0	0.840	1	1	50	20	0	0
    100. 

  100. 5	0	0.758	1	1	50	60	1	0
    101. 

  101. 5	0	0.655	1	1	75	40	1	0
    102. 

  102. 5	0	0.846	1	1	100	20	0	0
    103. 

  103. 5	0	0.438	1	1	100	60	1	0
    104. 

  104. 5	0	0.699	1	1	50	60	0	0
    105. 

  105. 5	1	0.925	1	1	25	20	0	22
    106. 

  106. 5	0	0.621	1	1	100	80	0	0
    107. 

  107. 5	0	0.554	1	1	50	60	0	0
    108. 

  108. 5	0	0.570	1	1	75	80	0	0
    109. 

  109. 5	1	0.892	1	1	25	20	1	22
    110. 

  110. 5	1	0.887	1	1	25	40	1	22
    111. 

  111. 5	0	0.903	1	1	50	20	0	0
    112. 

  112. 5	0	1.134	1	1	25	60	1	0
    113. 

  113. 5	0	0.926	1	1	100	80	0	0
    114. 

  114. 5	0	0.665	1	1	75	40	0	0
    115. 

  115. 5	0	0.531	1	1	25	60	0	0
    116. 

  116. 5	1	1.290	1	1	75	20	1	72
    117. 

  117. 5	0	0.576	1	1	100	60	0	0
    118. 

  118. 5	1	1.256	1	1	50	20	1	52
    119. 

  119. 5	1	1.196	1	1	50	20	1	52
    120. 

  120. 5	0	0.751	1	1	100	60	1	0
    121. 

  121. 5	1	0.831	1	1	25	40	0	0
    122. 

  122. 5	0	0.882	1	1	75	60	1	0
    123. 

  123. 5	0	0.689	1	1	25	80	0	0
    124. 

  124. 5	0	0.806	1	1	25	20	0	0
    125. 

  125. 5	0	0.927	1	1	75	80	1	0
    126. 

  126. 5	0	0.556	1	1	50	60	1	0
    127. 

  127. 5	0	1.173	1	1	100	80	1	0
    128. 

  128. 5	0	0.988	1	1	25	80	0	0
    129. 

  129. 5	0	0.679	1	1	100	80	1	0
    130.