+x+x+xGood morning:
I am having difficulties in randomizing trial type across the block.
In my experiment (script attached, thanks to Mr. Dave for supporting with this script earlier), I have 4 trial type (namely: "odd/odd", "even/even", "odd/even", "even/odd") but extended to 16 (and can be more in future) for randomizing across the blocks (currently, there are 64 trials in the block). I have also adjusted relevant scripts. It works fine. But the problem is that often “leftitemnumber” and “rightitemnumber” pick up the same values from the list (image attached)
I would like to avoid this that “leftitemnumber” shouldn’t be the same as “rightitemnumber”. There may be some way to put /not in list element - but I not sure how to do that.
Would highly appreciate it your kind help.
Thanks
If you want to avoid that, reset the two lists odditemnumbers and evenitemnumbers /ontrialbegin in each trial.
Thank you very much Dave, it works!.
Just to make clear why you
may get identical item numbers when you don't reset. It's pretty obvious when you think about what happens when trials sample from the lists.
Let's take the odditemnumbers list:
- It has four item numbers, and these are sampled randomly without replacement.
![](data:image/png;base64,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)
- Suppose your first trial is "odd/odd". That trial thus samples two items from the list, let's say 3 and 5, so 1 and 7 remain.
![](data:image/png;base64,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)
- Suppose your next trial is "even/odd". That trial will sample one of the remaining items from the odditemnumbers list (and one from the evenitemnumbers list). Let's say 1 is sampled and so 7 remains.
![](data:image/png;base64,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)
- Now suppose the next trial is again "odd/odd", i.e. it needs two item numbers from the list. But only one is left unsampled, 7.
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAPQAAABeCAYAAAAUqDl2AAAV1UlEQVR4Xu1dCZhVxZX+X6OO4mQ0MxCVEWkmIoJsYiJLQBCYAEK3EBZBE1GnZWzQYNBEiEJA4wj4EZa0IBrFIDCyqAlLN4gJi7KMjCJpUGkRwuLEGRtiCOrI0i+n7vJevbpbvfve677dfer7/KS7qs499VedOqdOnTodi1M5evggLr+iOez/gwsjwAjUSgRiRw4diLMw18q5Y6YZAQcCMdbQvCoYgbqDAGvoujOXPBJGAKyheREwAnUIAdbQdWgyeSiMAGtoXgOMQB1CgDV0HZpMHgojwBqa1wAjUIcQYA1dhyaTh8IIhNbQ28uWoWtFzELwIvx0VF88frEK6FGMXbIN8yq96iM0ASNpLC9dDnx4CLgyz8mYa/0qoNnNwGGffhEaoj4rNK4YjSv/Z8DBKfrduGWNIxBaQ1eHQH+yswzdK07i8m7DsLFZjrHKhUBPuwaY/x5QcgYoaJDjAWSTPAt0NtGsTlp6Gnp/FYrvAM5dnIe5+ansmYJ9sYeGzmwo9qbRc9DwiAp0wPiMTYLarGKBDrMSirtVua65MLTqS59gDU3C3LkF8F/nAtetzsN/99UT6EANfvwIxpS9h/mVf0kS7N4f8Y5fg9DMl237q8scpGG6738VmPQTEqj9Jp1mQ4DXlyfNabXeaCSZzkH1trCq/cTPQjNPJM3sKLJpXgGMHODOn6C9nfiNv0zmPBF54lHS9JNN037VH0nbrzVN4pFTqM1ii4aoW091rcUOopjM9K1mLZNHg0lkLejQFyZ35yUu9MXAfPgXdcb3vkdHmO8Dven/YhwjlwFLh5uoCHz7jAcO0Xjs8kQ5MKGNVe+/7lzA5V8RAoaGtpFQX1tVzjiLxo/Q4uoKrFiYh6HNnZh5aWh/gT6B5xaXoeiYfQa36GZNoK0F7SlQa8wFH7qeztiZCnRKf5sRWvhCiF3rrDaGUJzvwb/VX0egheXgVnzpSxuSH/8Jgab2Vxw1hdkuhrXykSXwCgOyQFtVQks//Rb9MCMP8ftZZoMQEBJlyLQqzDvuOosui2NoeGcMby2IgXSOawkyud3rJYHu3g0HmzdB/te9NosYgkzu2JzliI+zdn5BZjVphULSLEKDLSUtY2gT0hhiEYtFc800s152+shn6Pdv96+XnWZ+Z28vk3s/fb/FROn7En9iwS89xzLV99K/CXnDWTeX+pDAqgK3itoUUHtZA19pbViJ8bloaOMoEERf0vr2WAR+Q4m+H/8pAmttMrbVYgjteUmBfoKspqFkjbg5Iq0lobsWgxZ7faj31NA2iEI779mUl2WBJmiP78XYsr3kAbdhvogEt2/KWTn0GdpePPLZ1RZysaBwi2kSy/WyYK5s61+fqUDbvLitsIRAS9p6h/A232oKwXckDe0lsFoCnQ59aZOUN0Qv/mWB9vIfiE2tN21qCe1tHyeczkMWaP2tyPcMnYnJbbMQpMGBE3RmLqcz88fUpSmWj+uCYVbn0AIdpKFtgbbPdLbGtM/QtkB71Wcq0A4NrUyYsbmkI3CKBlYFOrGBWCazOEOHoi+0OlkQrZ5UNLS64FR+XK4BE12o7TTyD0ykjQr2kSFJ77nOZ1H0DuHBJreWVAd7uV2dYkcxfvZWzIopZ2D6pGkee9XbTi2P+sZtse/WVrjKYt3pHNN1inmdoa0FkxBgFSNrwWOGuWAdxT5DBp3BrQXscI7Z/clRZ5jI6gfkM3QWBNqLf12BdvS3Bc4WWA/+5TO0672+x/zIR6AAZ6zW6q6HjYK93AIUx7VV9gW6eaOmmDOgCwpSglPswJSkWe4ewOIyc6pJp3q5ZbNXnLXb0Vlu4olkYIlvvaZAC+eUEXhi8+fj5TaaZEugaUPx4z9QoDvQ+Z6uM2QPtMDo0UnSWVfxcsv8hxFodX6IHl9bpb8jBWvo9Glyj6gi8NlxYNFCk7t7fwTk+ZnCUR0E8+WHgJ6GZgxrHoE/HyNL6QPgHAoIuPb69PnZvgXoRxbACaIjSgfSwrt2pU+He0QaAdbQkZ4ei7nXyMQvGAGc+tz8xYISYPRYfc7/5wh5x3sAfzyY2mcdHQn6FujT4ZaRR4A1dOSniBjs1QvYuDHJ6RUU2C6fb4PGcNcPgIUUUaYWobU7dw/qzfW1CAHW0FGfrNUUOVY41MllMsDPfwTzKSBlzDhnmwIKO11Fmp9LnUKANXTUp/O7/wpseD2Vyx+MJOfW0mDOd24Fru/mbHf11cAbm4BGlwTT4Ba1CgHW0FGermVkJo8gc1ktm14DepCg+5WzFADSuw+webOz1e/XATcqr2yijAPzpo0Aa2htqGqg4bXXAu++m/rhWylmfYmIqgooEx+kCKyZzkbTfw785GH3zl9+QQ63p4AtpNlF+QVFhOXTUzsutQYB1tDVNFX3xaoQO+h8T+75+V/NA+528WRvI43b5QZ/rl+mlxdDySxXy2AKcnnlN+59n/4l8NDU5LWW3Ur3rO5CVYy5fTwPRdWEMX+GHuFp/22r1WcRGxLDs6fSmyA7FjfdfnVpcgwMRjRwef5XgV93aok7do7Cs1UvJBf+/39JYe3/AlR+kgpD8d3AvGeM3x2b8S00eujtZP3oVxFfMIiupj4EmtvBswqK+/YAV5nv5uz+fSm4ZH5VFVxexpqd3cx7isLrQ6Gxv3OZpOvWxRNv5u23APV57qt7HWtraOPFSzu3RenPsp9AGxNeGvN9zVXdgGT7e55jpNDMWOEhzJl5JcY9GE8V6Cf/w90sLn8HaENmuKOswnh63/3Z4sN4voReku3Y7mzyn4tSzuNCoGeva4fHNlqRY14D/5wSTTT8+2BY1o/Hvf02oemONXioU5NEe2P+29NbZnqCyyX3COhpaCtQ/vp0TEYN3uu8QHviJgRwJVrHF6FICPbN5yQFegV5r4ff5kTvx/S6f8YsD1QrsKJjS7T9qgeufs/FCTb+PmAmXV9J5ateMfyddLXtSljw4ma6q42X0Kbw/buSv121kgJh6I2zKDlaOxrLq1420dLQhuB9lN4um3h6acEqm11qnYz8fRXJc2biTbZoIL/LFub/mjxsP11lJGEQqZGKf2Y+s/PsTyTcUijlcta1NixZoL2umQSThw5Q9g8Pw3jXVJR3nIq2SCSfSQ6r43XmFZWsZR/4ITm86MzsVSY8QC8j6Pzu9T25329XAPTCLqUMHUwpbl5J/Mr7yJFL9OsnbS0NLZwb29c584lpQeZz9vZb8IYwn5vcRIyfD1jmuUVTvJH99JSZJikh1NZZVUuYfAYgxlxCYdNqSWdT0DqmWAL9yv9Nx+Be3wXK/+D86FOkmcc48++8dVcMfV6IYSU5rqinszS6lM7AdEV1Tftk3WzyXP+Icq25lC9+WIyGY8YALa28XkETPJOSFDzo8sy0OznttiQthTAKIejTXO+OQLCGFsIz0/+cGzuvCnFylrmWkALt8ArLplt50kE3SDqH75CcT7YVIGtsr0Xgy7/GyonlTUC8iha3UrQ0kyXQx0Z+iX9cSk841fIgRXk9Odudi8OktceSOb2m1L1+FyXj6vDtZJ0I9exKMd0uhaK6cfMNT2DP5gme2WkS3YTj7VFKXOgWTioaCUEf/1Cieaabq8YUcBMLgUANLRbl/KkNHNk+tREMI9DS43b1O4aAagi06Jdi2gekUnJ8JwsaWkugnx2MtaM/xABQfi+1DCoEXv2tO9RbKHpsCAWdqJ5wu7Uapy0CTXreCLz5ppPecsqvdn5p6lne7aviauvd3XRX/Zz39N99J/DM8yn1LNDa0pJxQ38NbQlWUSZ3iRkItKcTTqLppaFVZGrC2xoo0GUkrDfRVZNb+eaV9CBjA11f5TtrXySBut3ndncz9buBosTk8nPKSzaJtKpaLG1qXGNRCt2U6zO77Rcnic+B7lFnMj3pWk3+NZvcGcupNgFfDa11Bgz6lN/9tVXnZhb7CmAIgVbP5EFsZ6PeUzNV/i/l2aYnkJMpasurvEku6O+cMK6jZsWke2ovwSQ6VfRf3uuUs7v3TRZV8zprQ4MhKD9LjzzUYjuv7HvlWR/QXTmlRkoUs//HsX5YFqezuF8p+QWZ/5Q0waUEbmzZAJtpGAj4aui0o5skUBPJ3RSgVeFN8WRTW7neQcM2mzUEWqUblL00J+vBsnDO2A5F4dx6h5IKPP+i/+dKKZqrv8gbbgWe0FHYCNh4zds7/cnVnXHpEjprd+wk0Tb7n6T+asyZ8Ie3a5CHPWfFNmDRd4R3m/3LdsbwkkfEWHnb3mg758feseF8bZWTpeVF1FNDs5mUnXkwNpb9J3EGhWjwBjml/IrIIjJvTkpopxnRdQG2TypE58fcvdO4jYJJZlM/l9dTxx/viNOP7ILjXZV4VnkPOdQCivh+swnn46MeF+ISETVmF8GreGd9dzGdvy/wpMLaOQjh7NZ7auiMrqqyy2Otp/Zmy6XoVuESLCKP7B46E0+nK6V/kLMkmhpy/VejsHT3r91xeIS8yY85Pexm4wqsb9MSfVV/mzifV+zTyClmWQjnW97v35AX/s+fAe3pGizFEnBnjZ1h1b90A73c1c9SHfyiEITBpEW9ikhiMJDyfcnFCA1dgjZDp6F85QT3nuIBx7+RhnQrVv8+hZOxYZXiDBszGnhqgT/QVn/YMeIhpoUfZ4QALcMuwffQGX6AuxMC4rHFIPJmr5dM1vMuJK8zRWTdQ4EcXokGzpwGWlOQx4eUMlctsyh3+P10dg0qa+k8PpAit+TitxEE0eP6SCPAGro6p2eNFQ4pcoK1o5DMoCLa2zHRclvfuG6FKL2kwgDyeq+jv0wpSj/yfK2lQBRO4RuEfq2sZw0d5WlzE2glTlqb/VespAjf8zH9tYlxw6giwBo6qjMj+BIm9wBK5vcaBYrY2nUhBZVc+s9R5pp5q0EEWEPXIPjanxYZSEQZQrm5uTACPgiwhublwQjUIQT0NXTIFERhsfJ7Tx2WZph+nEIpDGrBff40ajKeWmT+Leg4GqPzgTEo8MyDFEyPW5gIaGvorMR1h0E9hxuJTuBDlAVah/8wkFdHHxbo3KCsp6FrMh63hgU6N7Bnh2ptFmgbASHYJYsuZQ2dnSWhp6HDxnWrDyTUbB+eKYbkwfkIdGB/9V219bjjEpEUgbKcuBX7cYiOya8+HpHTLNnvyLv0S2Y+kR+eJDAdSOl9KZuqUSgDS1xKTKLiZ9PPOIVTlhaPHxlZA4t2Z7o2Rt+Hi3HjTam4OwX6fayPvYS1RcMx91kzQ2mq8LfFwPgw5Esmeyr9Svyhwy+xbLeySezfjGdabMSeomEm3f17UTpiE7a9XZmgf8HMYjw8/hvVgE7uPqGlocPEdQdpD98UQxoCHdjf2gj8UgYF8Wiw4bGhqM871ZS1trDbQpySQonIJoTSfkGmWEGivl/7ZGIJtb9gLXQKJ431lGkKJlWgxSfjaG0IYxeHkMrC96khkIsv7IVxW3tCvqATNGftN3+fpwh0Cv3Vy/FI4fuQBfT09BJMnXAM+aWTUdTfFPrlu80zvF3qhEAH5uUOmYIoKAWQb4qhfAllD4EK6q/z/jm0QHskfpA3PkemFwVHdQMQI/bdOF3mwY//IHzkhZyrFEzJb7yP0m8tw9a3v+Ewrd1Mbltw79/aBpUd5hrCbf/7V9++xaG5AZW+uim4/ywEuuHMYfj3m1vhn75ZN9IMB2roTFIQeaYACkoxFCTQGv11+A4t0D5a207XpCXQfplU3caopFHy5F8DnyAlnamG/nzNJmyeIkzapKC4ebPdBFpo0ykTLkFBvB0+i23AYcRw2YFb0GzwXKy+/V7DLA6ib9LIMzeQPabGNrWzxQ+Z4KUjNib4E7w1Ly1O1gcBFNF6fy93NlIQWQNPMVHTcbK5CY9Gf513uNkW6LQ1tI9AGwI1SzpTp6OhNfDJ6Xq0zqv7u/Y0zWbjvLpCW0ODTOaHCytR8GRjLN3XGhNPLcML7fug4wO/w5HSKShqscU4D/vTN8/ib8+8BXfufokcb+bZWzb3TQw+xanpv8ejEyhbi8uRIKc45YC4r4bO5lWVagJr5/jSPMOq2ASZ/EZ7nxRICXo+Jn/J6FjiL0KoZ9xMNbQq0MbPlLBzz6a8ZFbOsCmccrCQUkhaAi00q1ySGtoUtjfgzBRraFFDYPfgbKdKHB9OjqoWmwwNm+h/1nRwedM3vyqf41PPx+7fP0UZUdVze66hyjZ9Xw2dSQoinRRAnimGaJQ6KYz8+gugHN5gl8yfXimQdL6fYpYqtDMVaJX3mdNieGBV3PFng0KlcMr2KnKh96dRJRQ4csyoadKpBzq32ouXKYe4GUASIND9PzAEfgvlWTHaWwJ8CMkzuD99iyFrYzlEW2CqdnZ+v0mn1ui2dBja0Z8Uq83FU0OHvaqqzWAw73ULAduzXRe817oz46mhw1xV6X6U2zECuUQgNQrNeVWWy2/XNO1AL3dNM8jfZwTSRcAW6NNdW+O2F2u/GZ3O+LVjudMhym0ZAUagZhBgDV0zuPNXGYGcIMAaOiewMlFGoGYQYA1dM7jzVxmBnCDAGjonsDJRRqBmEGANXTO481cZgZwgkDUNrYZabi9bhq4VdujfRfjpqL54XP4rL8ZwjmLskm2YV+lVn5MxM1FGoM4ikDUNrcYaV4dAf7KzDN0rTuLybsOwkXLXc2EE6jsCehqaXu8U3wGcuzgPc/NdIPNJJmAK9sUeGjoz+O1No+eg4a4CXdytypvnzD7NvRmBSCIQrKGlt7Ve2T/8Eul5CXSgBj9+BGPK3sP8yr8kgeveH/GOX4PQzJdt+6sLoJLprsF3JGeEmWIEMkDAV0PLaXJWLMzDULc0q7bgyG93JYbCCfQJPLe4DEXHlCwS6Qi0xYPQ0k/THzxX83VlgBl3ZQQii4Cnhraf5TW8M4a3FsSSb3CVodjt5AR5cpMgk9u9XhLo7t1wsHkT5H/diWGQyW330B1LZGeJGWMENBHw1NCJd7Yub4gTtG3tLD30V78bTqCJyvG9GFu2lzzgNsWL0HNQ35SzMgu05ixzs3qDgO8ZOsjk1skKElqgE1Nwgs7M5XRm/ph+0xTLx3XBMKtOR6ATiQqUFLn1ZoZ5oPUKgWAvt49zyTUtjgHfUYyfvRWzYs5MiqZH2qvedmp51Ddui323tsJV1hQ5nWPsFKtXq5cH60Ag2MsturhdW/nmvc6+QDdv1BRzBnRBQUpwih2YkjTL5QAWvrbiFV/fEAjW0B6IRPlvPtW3SeTxMgI2AnoaWsUr4KqK4WUEGIGaQSC0hq4ZdvmrjAAj4IdAOA3NmDICjEAkEWANHclpYaYYgXAIsIYOhxv3YgQiiQBr6EhOCzPFCIRDgDV0ONy4FyMQSQRYQ0dyWpgpRiAcAqyhw+HGvRiBSCLAGjqS08JMMQLhEGANHQ437sUIRBIB1tCRnBZmihEIhwBr6HC4cS9GIJIIsIaO5LQwU4xAOARYQ4fDjXsxApFEgDV0JKeFmWIEwiHwN/Pt+7mchJzoAAAAAElFTkSuQmCC)
To get the 2nd odd item number, the list has to reset and make all four items available again.
![](data:image/png;base64,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)
There thus is a 1-in-4 chance that the 2nd item number sampled in that trial will also be 7.
When you reset the lists manually /ontrialbegin in each trial, a situation like the above cannot occur. The list will always have 4 items available, and the 2 items sampled will always be different.