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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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Subj55_block1_stim1.dat

Subj55_block1_stim1.dat 3.3 KB
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123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129 
  1. subjID	choice	RT	blockNo	stim	InitRew	RisktoLoose	GainLossTr	RiskFeedback
    2. 

  2. 55	1	1.450	1	1	75	40	1	71
    3. 

  3. 55	1	1.019	1	1	75	80	0	71
    4. 

  4. 55	0	0.809	1	1	100	20	0	0
    5. 

  5. 55	1	0.873	1	1	75	80	1	71
    6. 

  6. 55	1	3.926	1	1	100	60	1	101
    7. 

  7. 55	1	1.226	1	1	50	40	1	51
    8. 

  8. 55	1	1.234	1	1	50	60	1	51
    9. 

  9. 55	0	0.930	1	1	100	20	1	0
    10. 

  10. 55	1	1.460	1	1	75	60	1	71
    11. 

  11. 55	1	1.021	1	1	50	80	0	51
    12. 

  12. 55	1	1.046	1	1	100	80	0	102
    13. 

  13. 55	0	0.952	1	1	75	20	1	0
    14. 

  14. 55	0	1.013	1	1	50	20	1	0
    15. 

  15. 55	0	1.280	1	1	50	40	0	0
    16. 

  16. 55	1	0.841	1	1	75	60	1	72
    17. 

  17. 55	1	0.797	1	1	75	80	1	71
    18. 

  18. 55	1	1.095	1	1	50	60	0	51
    19. 

  19. 55	1	0.809	1	1	100	80	1	101
    20. 

  20. 55	0	0.848	1	1	50	20	1	0
    21. 

  21. 55	1	1.011	1	1	50	80	1	51
    22. 

  22. 55	1	1.226	1	1	75	60	0	71
    23. 

  23. 55	0	0.800	1	1	50	20	0	0
    24. 

  24. 55	0	1.280	1	1	25	40	1	0
    25. 

  25. 55	1	3.949	1	1	100	60	1	102
    26. 

  26. 55	1	1.033	1	1	50	60	1	51
    27. 

  27. 55	0	0.793	1	1	100	40	0	0
    28. 

  28. 55	0	0.810	1	1	25	20	0	0
    29. 

  29. 55	1	1.049	1	1	25	80	1	21
    30. 

  30. 55	1	1.317	1	1	25	80	0	21
    31. 

  31. 55	0	0.879	1	1	25	20	1	0
    32. 

  32. 55	0	0.727	1	1	25	20	1	0
    33. 

  33. 55	1	0.756	1	1	25	60	1	21
    34. 

  34. 55	0	0.897	1	1	100	40	1	0
    35. 

  35. 55	0	0.687	1	1	100	20	1	0
    36. 

  36. 55	0	1.200	1	1	50	40	0	0
    37. 

  37. 55	0	0.764	1	1	50	20	0	0
    38. 

  38. 55	1	1.095	1	1	25	40	0	21
    39. 

  39. 55	1	1.096	1	1	25	80	0	21
    40. 

  40. 55	1	1.172	1	1	75	60	0	71
    41. 

  41. 55	1	0.951	1	1	75	80	0	71
    42. 

  42. 55	1	0.978	1	1	25	60	0	21
    43. 

  43. 55	0	1.135	1	1	75	40	0	0
    44. 

  44. 55	1	0.962	1	1	25	60	1	21
    45. 

  45. 55	0	0.746	1	1	75	20	0	0
    46. 

  46. 55	0	1.112	1	1	100	40	1	0
    47. 

  47. 55	0	1.417	1	1	25	40	1	0
    48. 

  48. 55	1	0.920	1	1	25	80	1	22
    49. 

  49. 55	0	0.748	1	1	75	20	0	0
    50. 

  50. 55	0	0.822	1	1	25	20	0	0
    51. 

  51. 55	0	1.258	1	1	75	40	1	0
    52. 

  52. 55	1	0.821	1	1	50	80	1	52
    53. 

  53. 55	0	1.339	1	1	50	80	0	0
    54. 

  54. 55	1	1.103	1	1	25	60	0	21
    55. 

  55. 55	0	0.966	1	1	100	40	0	0
    56. 

  56. 55	0	1.216	1	1	75	40	0	0
    57. 

  57. 55	0	0.862	1	1	100	20	0	0
    58. 

  58. 55	1	1.167	1	1	100	80	1	101
    59. 

  59. 55	1	1.257	1	1	100	80	0	101
    60. 

  60. 55	0	1.447	1	1	100	60	0	0
    61. 

  61. 55	1	1.519	1	1	25	40	0	22
    62. 

  62. 55	0	0.856	1	1	75	20	1	0
    63. 

  63. 55	1	1.247	1	1	50	40	1	51
    64. 

  64. 55	0	1.287	1	1	100	60	0	0
    65. 

  65. 55	1	1.160	1	1	50	60	0	51
    66. 

  66. 55	1	1.014	1	1	75	60	1	71
    67. 

  67. 55	1	1.221	1	1	100	60	1	102
    68. 

  68. 55	1	1.259	1	1	25	80	0	21
    69. 

  69. 55	1	1.577	1	1	50	80	1	52
    70. 

  70. 55	1	1.202	1	1	50	80	0	51
    71. 

  71. 55	0	0.619	1	1	75	20	0	0
    72. 

  72. 55	0	0.798	1	1	100	20	0	0
    73. 

  73. 55	0	1.241	1	1	25	40	1	0
    74. 

  74. 55	0	0.847	1	1	100	20	0	0
    75. 

  75. 55	1	1.332	1	1	50	80	0	51
    76. 

  76. 55	0	1.022	1	1	25	40	0	0
    77. 

  77. 55	0	0.968	1	1	50	40	0	0
    78. 

  78. 55	1	0.948	1	1	75	80	0	71
    79. 

  79. 55	1	1.243	1	1	75	60	1	72
    80. 

  80. 55	0	1.003	1	1	100	40	0	0
    81. 

  81. 55	0	1.280	1	1	50	40	1	0
    82. 

  82. 55	1	1.107	1	1	50	60	1	52
    83. 

  83. 55	0	0.983	1	1	25	40	1	0
    84. 

  84. 55	0	0.964	1	1	50	20	0	0
    85. 

  85. 55	1	0.848	1	1	75	80	0	71
    86. 

  86. 55	1	1.042	1	1	100	60	0	101
    87. 

  87. 55	0	1.273	1	1	75	40	1	0
    88. 

  88. 55	1	1.262	1	1	100	60	1	102
    89. 

  89. 55	1	1.076	1	1	75	80	1	71
    90. 

  90. 55	0	1.516	1	1	75	40	0	0
    91. 

  91. 55	1	0.725	1	1	25	80	1	21
    92. 

  92. 55	0	1.096	1	1	100	40	1	0
    93. 

  93. 55	0	0.811	1	1	25	20	1	0
    94. 

  94. 55	0	1.096	1	1	75	40	1	0
    95. 

  95. 55	1	0.923	1	1	50	60	1	52
    96. 

  96. 55	1	1.177	1	1	25	80	0	21
    97. 

  97. 55	0	1.067	1	1	50	60	0	0
    98. 

  98. 55	1	0.886	1	1	25	60	0	21
    99. 

  99. 55	0	0.884	1	1	100	20	1	0
    100. 

  100. 55	0	0.839	1	1	50	20	0	0
    101. 

  101. 55	0	1.037	1	1	25	20	1	0
    102. 

  102. 55	0	0.878	1	1	25	20	0	0
    103. 

  103. 55	0	0.983	1	1	75	40	0	0
    104. 

  104. 55	0	0.700	1	1	25	20	0	0
    105. 

  105. 55	1	0.747	1	1	100	80	0	101
    106. 

  106. 55	0	0.849	1	1	75	20	0	0
    107. 

  107. 55	0	1.523	1	1	100	40	1	0
    108. 

  108. 55	0	0.786	1	1	100	20	1	0
    109. 

  109. 55	0	0.872	1	1	50	20	1	0
    110. 

  110. 55	0	0.756	1	1	50	20	1	0
    111. 

  111. 55	0	1.333	1	1	25	40	0	0
    112. 

  112. 55	0	0.690	1	1	75	20	1	0
    113. 

  113. 55	1	1.321	1	1	100	40	0	102
    114. 

  114. 55	0	1.395	1	1	75	60	0	0
    115. 

  115. 55	1	1.286	1	1	25	60	1	22
    116. 

  116. 55	1	2.227	1	1	100	80	0	102
    117. 

  117. 55	0	2.236	1	1	50	60	0	0
    118. 

  118. 55	1	1.955	1	1	50	40	1	51
    119. 

  119. 55	1	2.097	1	1	50	80	1	52
    120. 

  120. 55	1	2.219	1	1	100	80	1	101
    121. 

  121. 55	1	2.207	1	1	25	80	1	21
    122. 

  122. 55	0	1.108	1	1	75	20	1	0
    123. 

  123. 55	1	1.931	1	1	50	40	0	52
    124. 

  124. 55	1	1.380	1	1	100	80	1	101
    125. 

  125. 55	1	1.596	1	1	75	60	0	72
    126. 

  126. 55	1	1.256	1	1	75	80	1	71
    127. 

  127. 55	0	1.097	1	1	25	60	0	0
    128. 

  128. 55	1	1.181	1	1	100	60	0	101
    129. 

  129. 55	1	0.831	1	1	25	60	1	22
    130.