TdcsFrameBetween/Behavioral data + R-script/Subj9_block1_stim1.dat

"subjID" "choice" "RT" "blockNo" "stim" "InitRew" "RisktoLoose" "GainLossTr" "RiskFeedback"
"1" 9 1 1.329 1 1 100 40 0 102
"2" 9 0 2.279 1 1 25 60 1 0
"3" 9 1 1.123 1 1 50 40 0 51
"4" 9 0 2.1 1 1 50 60 1 0
"5" 9 0 1.951 1 1 100 80 0 0
"6" 9 1 1.79 1 1 50 80 0 51
"7" 9 0 3.273 1 1 50 80 0 0
"8" 9 1 0.92 1 1 75 60 0 72
"9" 9 1 0.728 1 1 75 40 1 71
"10" 9 1 1.446 1 1 25 40 0 22
"11" 9 1 1.806 1 1 75 20 1 71
"12" 9 0 1.569 1 1 25 40 1 0
"13" 9 1 1.48 1 1 50 20 0 52
"14" 9 1 2.465 1 1 25 80 0 21
"15" 9 0 2.241 1 1 50 60 1 0
"16" 9 1 0.699 1 1 100 60 0 101
"17" 9 1 0.855 1 1 25 60 1 22
"18" 9 1 1.421 1 1 25 20 0 21
"19" 9 0 0.921 1 1 25 60 0 0
"20" 9 1 2.582 1 1 100 20 0 101
"21" 9 1 1.588 1 1 25 60 0 21
"22" 9 1 0.693 1 1 25 40 1 21
"23" 9 1 0.479 1 1 25 40 0 22
"24" 9 0 0.536 1 1 100 80 1 0
"25" 9 1 3.565 1 1 50 20 0 52
"26" 9 0 1.598 1 1 50 40 1 0
"27" 9 1 1.247 1 1 75 80 0 71
"28" 9 0 1.607 1 1 100 40 1 0
"29" 9 0 1.416 1 1 75 60 1 0
"30" 9 0 1.23 1 1 75 40 1 0
"31" 9 0 1.804 1 1 50 80 1 0
"32" 9 1 0.609 1 1 50 20 1 52
"33" 9 1 1.914 1 1 75 60 0 71
"34" 9 1 2.778 1 1 25 80 1 22
"35" 9 0 3.294 1 1 50 40 0 0
"36" 9 0 4.063 1 1 75 80 0 0
"37" 9 0 1.024 1 1 50 80 1 0
"38" 9 0 1.646 1 1 50 20 1 0
"39" 9 0 1.77 1 1 100 60 1 0
"40" 9 1 1.68 1 1 75 80 1 71
"41" 9 1 1.209 1 1 25 20 1 22
"42" 9 1 1.923 1 1 100 20 1 102
"43" 9 0 1.264 1 1 100 40 1 0
"44" 9 1 2.867 1 1 75 60 1 72
"45" 9 0 1.214 1 1 100 60 1 0
"46" 9 0 2.185 1 1 50 40 1 0
"47" 9 0 2.384 1 1 25 20 1 0
"48" 9 1 1.203 1 1 100 80 0 101
"49" 9 1 0.89 1 1 100 20 0 102
"50" 9 1 0.86 1 1 100 40 0 101
"51" 9 1 0.528 1 1 25 20 0 22
"52" 9 1 1.715 1 1 75 40 0 72
"53" 9 0 1.543 1 1 75 20 0 0
"54" 9 1 2.182 1 1 100 80 1 101
"55" 9 1 0.899 1 1 75 20 0 71
"56" 9 0 0.696 1 1 25 80 1 0
"57" 9 0 1.131 1 1 75 80 1 0
"58" 9 1 2.03 1 1 50 60 0 52
"59" 9 0 2.865 1 1 100 20 1 0
"60" 9 1 1.486 1 1 75 40 0 72
"61" 9 1 0.826 1 1 25 80 0 21
"62" 9 1 0.975 1 1 50 60 0 51
"63" 9 1 0.496 1 1 75 20 1 72
"64" 9 0 0.888 1 1 100 60 0 0
"65" 9 1 0.909 1 1 50 20 0 52
"66" 9 0 1.476 1 1 50 60 0 0
"67" 9 1 1.963 1 1 25 80 0 22
"68" 9 1 0.737 1 1 75 80 0 71
"69" 9 1 1.371 1 1 100 20 0 102
"70" 9 0 1.197 1 1 50 80 1 0
"71" 9 1 1.39 1 1 50 40 0 51
"72" 9 0 1.429 1 1 75 60 1 0
"73" 9 1 2.064 1 1 25 20 1 22
"74" 9 1 0.959 1 1 50 80 0 51
"75" 9 1 0.384 1 1 25 20 1 22
"76" 9 1 0.765 1 1 75 20 1 72
"77" 9 0 0.85 1 1 100 40 0 0
"78" 9 0 1.004 1 1 25 80 1 0
"79" 9 1 1.045 1 1 25 40 0 22
"80" 9 0 0.726 1 1 25 20 0 0
"81" 9 1 1.158 1 1 100 80 0 101
"82" 9 1 0.47 1 1 50 20 1 52
"83" 9 1 1.76 1 1 75 40 0 72
"84" 9 0 1.856 1 1 50 40 1 0
"85" 9 1 1.39 1 1 25 60 0 22
"86" 9 1 0.856 1 1 75 20 0 72
"87" 9 0 1.796 1 1 75 40 1 0
"88" 9 0 1.807 1 1 100 60 1 0
"89" 9 1 3.585 1 1 100 40 1 101
"90" 9 1 0.543 1 1 25 80 0 21
"91" 9 0 1.095 1 1 25 60 1 0
"92" 9 1 1.618 1 1 50 20 1 52
"93" 9 1 0.376 1 1 75 60 1 71
"94" 9 1 0.813 1 1 25 60 1 21
"95" 9 0 1.056 1 1 75 80 1 0
"96" 9 1 0.355 1 1 50 80 0 51
"97" 9 1 1.995 1 1 50 40 1 52
"98" 9 0 1.639 1 1 50 80 1 0
"99" 9 1 1.223 1 1 100 60 0 102
"100" 9 1 1.142 1 1 75 40 0 72
"101" 9 1 2.676 1 1 75 60 0 72
"102" 9 0 1.603 1 1 100 60 1 0
"103" 9 1 0.831 1 1 100 20 0 101
"104" 9 1 0.344 1 1 75 80 1 71
"105" 9 1 1.989 1 1 75 20 0 71
"106" 9 1 0.807 1 1 25 40 0 21
"107" 9 1 0.719 1 1 100 80 0 102
"108" 9 0 1.376 1 1 50 60 1 0
"109" 9 1 0.897 1 1 100 80 1 101
"110" 9 1 0.455 1 1 100 20 1 102
"111" 9 1 1.341 1 1 25 40 1 21
"112" 9 1 0.461 1 1 25 40 1 21
"113" 9 1 0.944 1 1 75 20 1 72
"114" 9 1 0.551 1 1 25 20 0 22
"115" 9 0 1.578 1 1 50 60 1 0
"116" 9 1 0.722 1 1 25 80 1 22
"117" 9 1 0.798 1 1 100 60 0 101
"118" 9 1 0.542 1 1 75 60 0 71
"119" 9 1 1.466 1 1 100 40 1 101
"120" 9 1 0.66 1 1 75 80 0 71
"121" 9 1 0.565 1 1 50 60 0 52
"122" 9 1 0.858 1 1 100 40 0 101
"123" 9 0 0.775 1 1 75 40 1 0
"124" 9 1 0.546 1 1 100 20 1 102
"125" 9 0 1.459 1 1 50 40 0 0
"126" 9 0 0.739 1 1 100 80 1 0
"127" 9 1 0.538 1 1 50 20 0 52
"128" 9 0 1.147 1 1 25 60 0 0