By AndrewPapale - 9/18/2023
Dear Inquisit Team,
I have a list: <list rt_359> / items = ( 42, 41, 42, 39, 37, 38, 31, 35, 28, 25, 20, 17, 21, 29, 25, 28, 36, 39, 36, 37, 38, 38, 36, 36, 35, 26, 29, 24, 28, 28, 31, 32, 36, 38, 38, 42, 44, 52, 56, 58, 62, 54, 65, 78, 83, 90, 92, 105, 127, 126, 147, 163, 161, 149, 143, 139, 141, 143, 161, 161, 159, 160, 158, 136, 129, 116, 127, 126, 132, 119, 111, 112, 111, 104, 97, 90, 80, 70, 62, 48, 48, 47, 45, 42, 40, 37, 36, 37, 34, 39, 38, 34, 34, 30, 28, 25, 20, 18, 19, 19, 10, 11, 5, 8, 11, 14, 20, 25, 33, 39, 41, 42, 41, 41, 43, 64, 76, 89, 101, 113, 126, 135, 138, 149, 143, 156, 160, 159, 163, 162, 163, 163, 163, 157, 160, 162, 161, 162, 149, 151, 155, 161, 161, 156, 159, 155, 149, 131, 118, 103, 97, 89, 76, 48, 47, 46, 46, 45, 44, 43, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 41, 42, 42, 40, 34, 33, 37, 28, 28, 33, 35, 34, 30, 28, 33, 34, 35, 35, 36, 39, 42, 47, 46, 43, 41, 41, 41, 39, 37, 40, 39, 30, 20, 17, 11, 19, 21, 19, 10, 9, 5, 6, 3, 6, 4, 3, 3, 3, 4, 3, 7, 11, 16, 20, 24, 28, 32, 36, 40, 48, 47, 46, 45, 45, 44, 43, 42, 40, 40, 40, 41, 40, 36, 38, 39, 38, 36, 37, 33, 31, 33, 31, 32, 30, 28, 28, 30, 31, 37, 40, 39, 39, 44, 45, 46, 47, 52, 54, 54, 61, 62, 77, 89, 94, 81, 76, 84, 91, 86, 107, 84, 99, 110, 86, 81, 62, 67, 53, 47, 62, 68, 57, 43, 44, 44, 46, 44, 58, 50, 50, 45, 46, 44, 41, 38, 35, 35, 34, 32, 27, 23, 21, 22, 17, 16, 9, 8, 8, 5, 6, 4, 3, 3, 3, 3, 3, 4, 4, 9, 14, 18, 22, 27, 32, 37, 41, 44, 41, 38, 39, 37,35) / poolsize = 316 / selectionmode = sequence </list>
For each trial, I want the list to advance by one value. This is working fine with the current code.
Now, for different groups in my experiment, I want to start the list at a different index. e.g. group 1 starts at index 1 (42) group 2 starts at index 50 (105), etc. Is this possible? I could not find a way to do it.
Thanks, Andrew
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By Dave - 9/18/2023
+xDear Inquisit Team, I have a list: <list rt_359> / items = ( 42, 41, 42, 39, 37, 38, 31, 35, 28, 25, 20, 17, 21, 29, 25, 28, 36, 39, 36, 37, 38, 38, 36, 36, 35, 26, 29, 24, 28, 28, 31, 32, 36, 38, 38, 42, 44, 52, 56, 58, 62, 54, 65, 78, 83, 90, 92, 105, 127, 126, 147, 163, 161, 149, 143, 139, 141, 143, 161, 161, 159, 160, 158, 136, 129, 116, 127, 126, 132, 119, 111, 112, 111, 104, 97, 90, 80, 70, 62, 48, 48, 47, 45, 42, 40, 37, 36, 37, 34, 39, 38, 34, 34, 30, 28, 25, 20, 18, 19, 19, 10, 11, 5, 8, 11, 14, 20, 25, 33, 39, 41, 42, 41, 41, 43, 64, 76, 89, 101, 113, 126, 135, 138, 149, 143, 156, 160, 159, 163, 162, 163, 163, 163, 157, 160, 162, 161, 162, 149, 151, 155, 161, 161, 156, 159, 155, 149, 131, 118, 103, 97, 89, 76, 48, 47, 46, 46, 45, 44, 43, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 41, 42, 42, 40, 34, 33, 37, 28, 28, 33, 35, 34, 30, 28, 33, 34, 35, 35, 36, 39, 42, 47, 46, 43, 41, 41, 41, 39, 37, 40, 39, 30, 20, 17, 11, 19, 21, 19, 10, 9, 5, 6, 3, 6, 4, 3, 3, 3, 4, 3, 7, 11, 16, 20, 24, 28, 32, 36, 40, 48, 47, 46, 45, 45, 44, 43, 42, 40, 40, 40, 41, 40, 36, 38, 39, 38, 36, 37, 33, 31, 33, 31, 32, 30, 28, 28, 30, 31, 37, 40, 39, 39, 44, 45, 46, 47, 52, 54, 54, 61, 62, 77, 89, 94, 81, 76, 84, 91, 86, 107, 84, 99, 110, 86, 81, 62, 67, 53, 47, 62, 68, 57, 43, 44, 44, 46, 44, 58, 50, 50, 45, 46, 44, 41, 38, 35, 35, 34, 32, 27, 23, 21, 22, 17, 16, 9, 8, 8, 5, 6, 4, 3, 3, 3, 3, 3, 4, 4, 9, 14, 18, 22, 27, 32, 37, 41, 44, 41, 38, 39, 37,35) / poolsize = 316 / selectionmode = sequence </list> For each trial, I want the list to advance by one value. This is working fine with the current code. Now, for different groups in my experiment, I want to start the list at a different index. e.g. group 1 starts at index 1 (42) group 2 starts at index 50 (105), etc. Is this possible? I could not find a way to do it. Thanks, Andrew You can use a value to determine the list's selection, like you can do basically anywhere else.
I.e.
<values> / index = 0 </values>
with
<list rt_359> ... / selectionmode = values.index </list>
Increment the value bye one in every trial, which does the same thing as selecting sequentially. Set the value to whatever start value you need for each group you have, be it 0, 49, or whatever else the case may be.
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By Dave - 9/18/2023
+x+xDear Inquisit Team, I have a list: <list rt_359> / items = ( 42, 41, 42, 39, 37, 38, 31, 35, 28, 25, 20, 17, 21, 29, 25, 28, 36, 39, 36, 37, 38, 38, 36, 36, 35, 26, 29, 24, 28, 28, 31, 32, 36, 38, 38, 42, 44, 52, 56, 58, 62, 54, 65, 78, 83, 90, 92, 105, 127, 126, 147, 163, 161, 149, 143, 139, 141, 143, 161, 161, 159, 160, 158, 136, 129, 116, 127, 126, 132, 119, 111, 112, 111, 104, 97, 90, 80, 70, 62, 48, 48, 47, 45, 42, 40, 37, 36, 37, 34, 39, 38, 34, 34, 30, 28, 25, 20, 18, 19, 19, 10, 11, 5, 8, 11, 14, 20, 25, 33, 39, 41, 42, 41, 41, 43, 64, 76, 89, 101, 113, 126, 135, 138, 149, 143, 156, 160, 159, 163, 162, 163, 163, 163, 157, 160, 162, 161, 162, 149, 151, 155, 161, 161, 156, 159, 155, 149, 131, 118, 103, 97, 89, 76, 48, 47, 46, 46, 45, 44, 43, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 41, 42, 42, 40, 34, 33, 37, 28, 28, 33, 35, 34, 30, 28, 33, 34, 35, 35, 36, 39, 42, 47, 46, 43, 41, 41, 41, 39, 37, 40, 39, 30, 20, 17, 11, 19, 21, 19, 10, 9, 5, 6, 3, 6, 4, 3, 3, 3, 4, 3, 7, 11, 16, 20, 24, 28, 32, 36, 40, 48, 47, 46, 45, 45, 44, 43, 42, 40, 40, 40, 41, 40, 36, 38, 39, 38, 36, 37, 33, 31, 33, 31, 32, 30, 28, 28, 30, 31, 37, 40, 39, 39, 44, 45, 46, 47, 52, 54, 54, 61, 62, 77, 89, 94, 81, 76, 84, 91, 86, 107, 84, 99, 110, 86, 81, 62, 67, 53, 47, 62, 68, 57, 43, 44, 44, 46, 44, 58, 50, 50, 45, 46, 44, 41, 38, 35, 35, 34, 32, 27, 23, 21, 22, 17, 16, 9, 8, 8, 5, 6, 4, 3, 3, 3, 3, 3, 4, 4, 9, 14, 18, 22, 27, 32, 37, 41, 44, 41, 38, 39, 37,35) / poolsize = 316 / selectionmode = sequence </list> For each trial, I want the list to advance by one value. This is working fine with the current code. Now, for different groups in my experiment, I want to start the list at a different index. e.g. group 1 starts at index 1 (42) group 2 starts at index 50 (105), etc. Is this possible? I could not find a way to do it. Thanks, Andrew You can use a value to determine the list's selection, like you can do basically anywhere else. I.e. <values> / index = 0 </values> with <list rt_359> ... / selectionmode = values.index </list> Increment the value bye one in every trial, which does the same thing as selecting sequentially. Set the value to whatever start value you need for each group you have, be it 0, 49, or whatever else the case may be. Here's a runnable example. First group gets index 1 in the first trial, second group gets inex 340 in the first trial, so you can see how things wrap around (the list has 345 items, so once you've shown item 345, you need to wrap around back to item 1).
<values> / index = 0 </values>
<list rt_359> / items = ( 42, 41, 42, 39, 37, 38, 31, 35, 28, 25, 20, 17, 21, 29, 25, 28, 36, 39, 36, 37, 38, 38, 36, 36, 35, 26, 29, 24, 28, 28, 31, 32, 36, 38, 38, 42, 44, 52, 56, 58, 62, 54, 65, 78, 83, 90, 92, 105, 127, 126, 147, 163, 161, 149, 143, 139, 141, 143, 161, 161, 159, 160, 158, 136, 129, 116, 127, 126, 132, 119, 111, 112, 111, 104, 97, 90, 80, 70, 62, 48, 48, 47, 45, 42, 40, 37, 36, 37, 34, 39, 38, 34, 34, 30, 28, 25, 20, 18, 19, 19, 10, 11, 5, 8, 11, 14, 20, 25, 33, 39, 41, 42, 41, 41, 43, 64, 76, 89, 101, 113, 126, 135, 138, 149, 143, 156, 160, 159, 163, 162, 163, 163, 163, 157, 160, 162, 161, 162, 149, 151, 155, 161, 161, 156, 159, 155, 149, 131, 118, 103, 97, 89, 76, 48, 47, 46, 46, 45, 44, 43, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 41, 42, 42, 40, 34, 33, 37, 28, 28, 33, 35, 34, 30, 28, 33, 34, 35, 35, 36, 39, 42, 47, 46, 43, 41, 41, 41, 39, 37, 40, 39, 30, 20, 17, 11, 19, 21, 19, 10, 9, 5, 6, 3, 6, 4, 3, 3, 3, 4, 3, 7, 11, 16, 20, 24, 28, 32, 36, 40, 48, 47, 46, 45, 45, 44, 43, 42, 40, 40, 40, 41, 40, 36, 38, 39, 38, 36, 37, 33, 31, 33, 31, 32, 30, 28, 28, 30, 31, 37, 40, 39, 39, 44, 45, 46, 47, 52, 54, 54, 61, 62, 77, 89, 94, 81, 76, 84, 91, 86, 107, 84, 99, 110, 86, 81, 62, 67, 53, 47, 62, 68, 57, 43, 44, 44, 46, 44, 58, 50, 50, 45, 46, 44, 41, 38, 35, 35, 34, 32, 27, 23, 21, 22, 17, 16, 9, 8, 8, 5, 6, 4, 3, 3, 3, 3, 3, 4, 4, 9, 14, 18, 22, 27, 32, 37, 41, 44, 41, 38, 39, 37,35) / selectionmode = values.index </list>
<trial mytrial> / ontrialbegin = [ values.index += 1; // increment index by 1 values.index = mod(values.index - 1, list.rt_359.itemcount) + 1; // make sure we wrap around to index 1 ] / stimulusframes = [1=text.mytext] / validresponse = (57) </trial>
<text mytext> / items = ("List value: <%list.rt_359.nextvalue%> | List index: <%list.rt_359.currentindex%> (<%values.index%>) | Group: <%script.groupid%>") </text>
<block myblock> / trials = [1-345 = trial.mytrial] </block>
<expt a> / onexptbegin = [ values.index = 0; ] / blocks = [1 = block.myblock] / groups = (1 of 2) </expt>
<expt b> / onexptbegin = [ values.index = 339; ] / blocks = [1 = block.myblock] / groups = (2 of 2) </expt>
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By AndrewPapale - 9/19/2023
+x+x+xDear Inquisit Team, I have a list: <list rt_359> / items = ( 42, 41, 42, 39, 37, 38, 31, 35, 28, 25, 20, 17, 21, 29, 25, 28, 36, 39, 36, 37, 38, 38, 36, 36, 35, 26, 29, 24, 28, 28, 31, 32, 36, 38, 38, 42, 44, 52, 56, 58, 62, 54, 65, 78, 83, 90, 92, 105, 127, 126, 147, 163, 161, 149, 143, 139, 141, 143, 161, 161, 159, 160, 158, 136, 129, 116, 127, 126, 132, 119, 111, 112, 111, 104, 97, 90, 80, 70, 62, 48, 48, 47, 45, 42, 40, 37, 36, 37, 34, 39, 38, 34, 34, 30, 28, 25, 20, 18, 19, 19, 10, 11, 5, 8, 11, 14, 20, 25, 33, 39, 41, 42, 41, 41, 43, 64, 76, 89, 101, 113, 126, 135, 138, 149, 143, 156, 160, 159, 163, 162, 163, 163, 163, 157, 160, 162, 161, 162, 149, 151, 155, 161, 161, 156, 159, 155, 149, 131, 118, 103, 97, 89, 76, 48, 47, 46, 46, 45, 44, 43, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 41, 42, 42, 40, 34, 33, 37, 28, 28, 33, 35, 34, 30, 28, 33, 34, 35, 35, 36, 39, 42, 47, 46, 43, 41, 41, 41, 39, 37, 40, 39, 30, 20, 17, 11, 19, 21, 19, 10, 9, 5, 6, 3, 6, 4, 3, 3, 3, 4, 3, 7, 11, 16, 20, 24, 28, 32, 36, 40, 48, 47, 46, 45, 45, 44, 43, 42, 40, 40, 40, 41, 40, 36, 38, 39, 38, 36, 37, 33, 31, 33, 31, 32, 30, 28, 28, 30, 31, 37, 40, 39, 39, 44, 45, 46, 47, 52, 54, 54, 61, 62, 77, 89, 94, 81, 76, 84, 91, 86, 107, 84, 99, 110, 86, 81, 62, 67, 53, 47, 62, 68, 57, 43, 44, 44, 46, 44, 58, 50, 50, 45, 46, 44, 41, 38, 35, 35, 34, 32, 27, 23, 21, 22, 17, 16, 9, 8, 8, 5, 6, 4, 3, 3, 3, 3, 3, 4, 4, 9, 14, 18, 22, 27, 32, 37, 41, 44, 41, 38, 39, 37,35) / poolsize = 316 / selectionmode = sequence </list> For each trial, I want the list to advance by one value. This is working fine with the current code. Now, for different groups in my experiment, I want to start the list at a different index. e.g. group 1 starts at index 1 (42) group 2 starts at index 50 (105), etc. Is this possible? I could not find a way to do it. Thanks, Andrew You can use a value to determine the list's selection, like you can do basically anywhere else. I.e. <values> / index = 0 </values> with <list rt_359> ... / selectionmode = values.index </list> Increment the value bye one in every trial, which does the same thing as selecting sequentially. Set the value to whatever start value you need for each group you have, be it 0, 49, or whatever else the case may be. Here's a runnable example. First group gets index 1 in the first trial, second group gets inex 340 in the first trial, so you can see how things wrap around (the list has 345 items, so once you've shown item 345, you need to wrap around back to item 1). <values> / index = 0 </values>
<list rt_359> / items = ( 42, 41, 42, 39, 37, 38, 31, 35, 28, 25, 20, 17, 21, 29, 25, 28, 36, 39, 36, 37, 38, 38, 36, 36, 35, 26, 29, 24, 28, 28, 31, 32, 36, 38, 38, 42, 44, 52, 56, 58, 62, 54, 65, 78, 83, 90, 92, 105, 127, 126, 147, 163, 161, 149, 143, 139, 141, 143, 161, 161, 159, 160, 158, 136, 129, 116, 127, 126, 132, 119, 111, 112, 111, 104, 97, 90, 80, 70, 62, 48, 48, 47, 45, 42, 40, 37, 36, 37, 34, 39, 38, 34, 34, 30, 28, 25, 20, 18, 19, 19, 10, 11, 5, 8, 11, 14, 20, 25, 33, 39, 41, 42, 41, 41, 43, 64, 76, 89, 101, 113, 126, 135, 138, 149, 143, 156, 160, 159, 163, 162, 163, 163, 163, 157, 160, 162, 161, 162, 149, 151, 155, 161, 161, 156, 159, 155, 149, 131, 118, 103, 97, 89, 76, 48, 47, 46, 46, 45, 44, 43, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 41, 42, 42, 40, 34, 33, 37, 28, 28, 33, 35, 34, 30, 28, 33, 34, 35, 35, 36, 39, 42, 47, 46, 43, 41, 41, 41, 39, 37, 40, 39, 30, 20, 17, 11, 19, 21, 19, 10, 9, 5, 6, 3, 6, 4, 3, 3, 3, 4, 3, 7, 11, 16, 20, 24, 28, 32, 36, 40, 48, 47, 46, 45, 45, 44, 43, 42, 40, 40, 40, 41, 40, 36, 38, 39, 38, 36, 37, 33, 31, 33, 31, 32, 30, 28, 28, 30, 31, 37, 40, 39, 39, 44, 45, 46, 47, 52, 54, 54, 61, 62, 77, 89, 94, 81, 76, 84, 91, 86, 107, 84, 99, 110, 86, 81, 62, 67, 53, 47, 62, 68, 57, 43, 44, 44, 46, 44, 58, 50, 50, 45, 46, 44, 41, 38, 35, 35, 34, 32, 27, 23, 21, 22, 17, 16, 9, 8, 8, 5, 6, 4, 3, 3, 3, 3, 3, 4, 4, 9, 14, 18, 22, 27, 32, 37, 41, 44, 41, 38, 39, 37,35) / selectionmode = values.index </list>
<trial mytrial> / ontrialbegin = [ values.index += 1; // increment index by 1 values.index = mod(values.index - 1, list.rt_359.itemcount) + 1; // make sure we wrap around to index 1 ] / stimulusframes = [1=text.mytext] / validresponse = (57) </trial>
<text mytext> / items = ("List value: <%list.rt_359.nextvalue%> | List index: <%list.rt_359.currentindex%> (<%values.index%>) | Group: <%script.groupid%>") </text>
<block myblock> / trials = [1-345 = trial.mytrial] </block>
<expt a> / onexptbegin = [ values.index = 0; ] / blocks = [1 = block.myblock] / groups = (1 of 2) </expt>
<expt b> / onexptbegin = [ values.index = 339; ] / blocks = [1 = block.myblock] / groups = (2 of 2) </expt> The example script works beautifully, thanks Dave! However, when I try to apply this approach to my actual experiment the list.rt_359.currentindex never iterates. The index iterates successfully where it is supposed to. Any ideas? Would you like to see my full script? It's a bear.
Andrew
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By AndrewPapale - 9/19/2023
+x+x+x+xDear Inquisit Team, I have a list: <list rt_359> / items = ( 42, 41, 42, 39, 37, 38, 31, 35, 28, 25, 20, 17, 21, 29, 25, 28, 36, 39, 36, 37, 38, 38, 36, 36, 35, 26, 29, 24, 28, 28, 31, 32, 36, 38, 38, 42, 44, 52, 56, 58, 62, 54, 65, 78, 83, 90, 92, 105, 127, 126, 147, 163, 161, 149, 143, 139, 141, 143, 161, 161, 159, 160, 158, 136, 129, 116, 127, 126, 132, 119, 111, 112, 111, 104, 97, 90, 80, 70, 62, 48, 48, 47, 45, 42, 40, 37, 36, 37, 34, 39, 38, 34, 34, 30, 28, 25, 20, 18, 19, 19, 10, 11, 5, 8, 11, 14, 20, 25, 33, 39, 41, 42, 41, 41, 43, 64, 76, 89, 101, 113, 126, 135, 138, 149, 143, 156, 160, 159, 163, 162, 163, 163, 163, 157, 160, 162, 161, 162, 149, 151, 155, 161, 161, 156, 159, 155, 149, 131, 118, 103, 97, 89, 76, 48, 47, 46, 46, 45, 44, 43, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 41, 42, 42, 40, 34, 33, 37, 28, 28, 33, 35, 34, 30, 28, 33, 34, 35, 35, 36, 39, 42, 47, 46, 43, 41, 41, 41, 39, 37, 40, 39, 30, 20, 17, 11, 19, 21, 19, 10, 9, 5, 6, 3, 6, 4, 3, 3, 3, 4, 3, 7, 11, 16, 20, 24, 28, 32, 36, 40, 48, 47, 46, 45, 45, 44, 43, 42, 40, 40, 40, 41, 40, 36, 38, 39, 38, 36, 37, 33, 31, 33, 31, 32, 30, 28, 28, 30, 31, 37, 40, 39, 39, 44, 45, 46, 47, 52, 54, 54, 61, 62, 77, 89, 94, 81, 76, 84, 91, 86, 107, 84, 99, 110, 86, 81, 62, 67, 53, 47, 62, 68, 57, 43, 44, 44, 46, 44, 58, 50, 50, 45, 46, 44, 41, 38, 35, 35, 34, 32, 27, 23, 21, 22, 17, 16, 9, 8, 8, 5, 6, 4, 3, 3, 3, 3, 3, 4, 4, 9, 14, 18, 22, 27, 32, 37, 41, 44, 41, 38, 39, 37,35) / poolsize = 316 / selectionmode = sequence </list> For each trial, I want the list to advance by one value. This is working fine with the current code. Now, for different groups in my experiment, I want to start the list at a different index. e.g. group 1 starts at index 1 (42) group 2 starts at index 50 (105), etc. Is this possible? I could not find a way to do it. Thanks, Andrew You can use a value to determine the list's selection, like you can do basically anywhere else. I.e. <values> / index = 0 </values> with <list rt_359> ... / selectionmode = values.index </list> Increment the value bye one in every trial, which does the same thing as selecting sequentially. Set the value to whatever start value you need for each group you have, be it 0, 49, or whatever else the case may be. Here's a runnable example. First group gets index 1 in the first trial, second group gets inex 340 in the first trial, so you can see how things wrap around (the list has 345 items, so once you've shown item 345, you need to wrap around back to item 1). <values> / index = 0 </values>
<list rt_359> / items = ( 42, 41, 42, 39, 37, 38, 31, 35, 28, 25, 20, 17, 21, 29, 25, 28, 36, 39, 36, 37, 38, 38, 36, 36, 35, 26, 29, 24, 28, 28, 31, 32, 36, 38, 38, 42, 44, 52, 56, 58, 62, 54, 65, 78, 83, 90, 92, 105, 127, 126, 147, 163, 161, 149, 143, 139, 141, 143, 161, 161, 159, 160, 158, 136, 129, 116, 127, 126, 132, 119, 111, 112, 111, 104, 97, 90, 80, 70, 62, 48, 48, 47, 45, 42, 40, 37, 36, 37, 34, 39, 38, 34, 34, 30, 28, 25, 20, 18, 19, 19, 10, 11, 5, 8, 11, 14, 20, 25, 33, 39, 41, 42, 41, 41, 43, 64, 76, 89, 101, 113, 126, 135, 138, 149, 143, 156, 160, 159, 163, 162, 163, 163, 163, 157, 160, 162, 161, 162, 149, 151, 155, 161, 161, 156, 159, 155, 149, 131, 118, 103, 97, 89, 76, 48, 47, 46, 46, 45, 44, 43, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 41, 42, 42, 40, 34, 33, 37, 28, 28, 33, 35, 34, 30, 28, 33, 34, 35, 35, 36, 39, 42, 47, 46, 43, 41, 41, 41, 39, 37, 40, 39, 30, 20, 17, 11, 19, 21, 19, 10, 9, 5, 6, 3, 6, 4, 3, 3, 3, 4, 3, 7, 11, 16, 20, 24, 28, 32, 36, 40, 48, 47, 46, 45, 45, 44, 43, 42, 40, 40, 40, 41, 40, 36, 38, 39, 38, 36, 37, 33, 31, 33, 31, 32, 30, 28, 28, 30, 31, 37, 40, 39, 39, 44, 45, 46, 47, 52, 54, 54, 61, 62, 77, 89, 94, 81, 76, 84, 91, 86, 107, 84, 99, 110, 86, 81, 62, 67, 53, 47, 62, 68, 57, 43, 44, 44, 46, 44, 58, 50, 50, 45, 46, 44, 41, 38, 35, 35, 34, 32, 27, 23, 21, 22, 17, 16, 9, 8, 8, 5, 6, 4, 3, 3, 3, 3, 3, 4, 4, 9, 14, 18, 22, 27, 32, 37, 41, 44, 41, 38, 39, 37,35) / selectionmode = values.index </list>
<trial mytrial> / ontrialbegin = [ values.index += 1; // increment index by 1 values.index = mod(values.index - 1, list.rt_359.itemcount) + 1; // make sure we wrap around to index 1 ] / stimulusframes = [1=text.mytext] / validresponse = (57) </trial>
<text mytext> / items = ("List value: <%list.rt_359.nextvalue%> | List index: <%list.rt_359.currentindex%> (<%values.index%>) | Group: <%script.groupid%>") </text>
<block myblock> / trials = [1-345 = trial.mytrial] </block>
<expt a> / onexptbegin = [ values.index = 0; ] / blocks = [1 = block.myblock] / groups = (1 of 2) </expt>
<expt b> / onexptbegin = [ values.index = 339; ] / blocks = [1 = block.myblock] / groups = (2 of 2) </expt> The example script works beautifully, thanks Dave! However, when I try to apply this approach to my actual experiment the list.rt_359.currentindex never iterates. The index iterates successfully where it is supposed to. Any ideas? Would you like to see my full script? It's a bear. Andrew https://github.com/andrewpapale/Clock_v2/blob/main/EEG_clock_v2_0_4.iqx
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By Dave - 9/19/2023
+x+x+x+x+xDear Inquisit Team, I have a list: <list rt_359> / items = ( 42, 41, 42, 39, 37, 38, 31, 35, 28, 25, 20, 17, 21, 29, 25, 28, 36, 39, 36, 37, 38, 38, 36, 36, 35, 26, 29, 24, 28, 28, 31, 32, 36, 38, 38, 42, 44, 52, 56, 58, 62, 54, 65, 78, 83, 90, 92, 105, 127, 126, 147, 163, 161, 149, 143, 139, 141, 143, 161, 161, 159, 160, 158, 136, 129, 116, 127, 126, 132, 119, 111, 112, 111, 104, 97, 90, 80, 70, 62, 48, 48, 47, 45, 42, 40, 37, 36, 37, 34, 39, 38, 34, 34, 30, 28, 25, 20, 18, 19, 19, 10, 11, 5, 8, 11, 14, 20, 25, 33, 39, 41, 42, 41, 41, 43, 64, 76, 89, 101, 113, 126, 135, 138, 149, 143, 156, 160, 159, 163, 162, 163, 163, 163, 157, 160, 162, 161, 162, 149, 151, 155, 161, 161, 156, 159, 155, 149, 131, 118, 103, 97, 89, 76, 48, 47, 46, 46, 45, 44, 43, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 41, 42, 42, 40, 34, 33, 37, 28, 28, 33, 35, 34, 30, 28, 33, 34, 35, 35, 36, 39, 42, 47, 46, 43, 41, 41, 41, 39, 37, 40, 39, 30, 20, 17, 11, 19, 21, 19, 10, 9, 5, 6, 3, 6, 4, 3, 3, 3, 4, 3, 7, 11, 16, 20, 24, 28, 32, 36, 40, 48, 47, 46, 45, 45, 44, 43, 42, 40, 40, 40, 41, 40, 36, 38, 39, 38, 36, 37, 33, 31, 33, 31, 32, 30, 28, 28, 30, 31, 37, 40, 39, 39, 44, 45, 46, 47, 52, 54, 54, 61, 62, 77, 89, 94, 81, 76, 84, 91, 86, 107, 84, 99, 110, 86, 81, 62, 67, 53, 47, 62, 68, 57, 43, 44, 44, 46, 44, 58, 50, 50, 45, 46, 44, 41, 38, 35, 35, 34, 32, 27, 23, 21, 22, 17, 16, 9, 8, 8, 5, 6, 4, 3, 3, 3, 3, 3, 4, 4, 9, 14, 18, 22, 27, 32, 37, 41, 44, 41, 38, 39, 37,35) / poolsize = 316 / selectionmode = sequence </list> For each trial, I want the list to advance by one value. This is working fine with the current code. Now, for different groups in my experiment, I want to start the list at a different index. e.g. group 1 starts at index 1 (42) group 2 starts at index 50 (105), etc. Is this possible? I could not find a way to do it. Thanks, Andrew You can use a value to determine the list's selection, like you can do basically anywhere else. I.e. <values> / index = 0 </values> with <list rt_359> ... / selectionmode = values.index </list> Increment the value bye one in every trial, which does the same thing as selecting sequentially. Set the value to whatever start value you need for each group you have, be it 0, 49, or whatever else the case may be. Here's a runnable example. First group gets index 1 in the first trial, second group gets inex 340 in the first trial, so you can see how things wrap around (the list has 345 items, so once you've shown item 345, you need to wrap around back to item 1). <values> / index = 0 </values>
<list rt_359> / items = ( 42, 41, 42, 39, 37, 38, 31, 35, 28, 25, 20, 17, 21, 29, 25, 28, 36, 39, 36, 37, 38, 38, 36, 36, 35, 26, 29, 24, 28, 28, 31, 32, 36, 38, 38, 42, 44, 52, 56, 58, 62, 54, 65, 78, 83, 90, 92, 105, 127, 126, 147, 163, 161, 149, 143, 139, 141, 143, 161, 161, 159, 160, 158, 136, 129, 116, 127, 126, 132, 119, 111, 112, 111, 104, 97, 90, 80, 70, 62, 48, 48, 47, 45, 42, 40, 37, 36, 37, 34, 39, 38, 34, 34, 30, 28, 25, 20, 18, 19, 19, 10, 11, 5, 8, 11, 14, 20, 25, 33, 39, 41, 42, 41, 41, 43, 64, 76, 89, 101, 113, 126, 135, 138, 149, 143, 156, 160, 159, 163, 162, 163, 163, 163, 157, 160, 162, 161, 162, 149, 151, 155, 161, 161, 156, 159, 155, 149, 131, 118, 103, 97, 89, 76, 48, 47, 46, 46, 45, 44, 43, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 41, 42, 42, 40, 34, 33, 37, 28, 28, 33, 35, 34, 30, 28, 33, 34, 35, 35, 36, 39, 42, 47, 46, 43, 41, 41, 41, 39, 37, 40, 39, 30, 20, 17, 11, 19, 21, 19, 10, 9, 5, 6, 3, 6, 4, 3, 3, 3, 4, 3, 7, 11, 16, 20, 24, 28, 32, 36, 40, 48, 47, 46, 45, 45, 44, 43, 42, 40, 40, 40, 41, 40, 36, 38, 39, 38, 36, 37, 33, 31, 33, 31, 32, 30, 28, 28, 30, 31, 37, 40, 39, 39, 44, 45, 46, 47, 52, 54, 54, 61, 62, 77, 89, 94, 81, 76, 84, 91, 86, 107, 84, 99, 110, 86, 81, 62, 67, 53, 47, 62, 68, 57, 43, 44, 44, 46, 44, 58, 50, 50, 45, 46, 44, 41, 38, 35, 35, 34, 32, 27, 23, 21, 22, 17, 16, 9, 8, 8, 5, 6, 4, 3, 3, 3, 3, 3, 4, 4, 9, 14, 18, 22, 27, 32, 37, 41, 44, 41, 38, 39, 37,35) / selectionmode = values.index </list>
<trial mytrial> / ontrialbegin = [ values.index += 1; // increment index by 1 values.index = mod(values.index - 1, list.rt_359.itemcount) + 1; // make sure we wrap around to index 1 ] / stimulusframes = [1=text.mytext] / validresponse = (57) </trial>
<text mytext> / items = ("List value: <%list.rt_359.nextvalue%> | List index: <%list.rt_359.currentindex%> (<%values.index%>) | Group: <%script.groupid%>") </text>
<block myblock> / trials = [1-345 = trial.mytrial] </block>
<expt a> / onexptbegin = [ values.index = 0; ] / blocks = [1 = block.myblock] / groups = (1 of 2) </expt>
<expt b> / onexptbegin = [ values.index = 339; ] / blocks = [1 = block.myblock] / groups = (2 of 2) </expt> The example script works beautifully, thanks Dave! However, when I try to apply this approach to my actual experiment the list.rt_359.currentindex never iterates. The index iterates successfully where it is supposed to. Any ideas? Would you like to see my full script? It's a bear. Andrew https://github.com/andrewpapale/Clock_v2/blob/main/EEG_clock_v2_0_4.iqx Maybe you could be so kind and point out the relevant parts of the code and show what exactly you implemented where and how. It would also be nice if you could provide some kind of packaged up version of the script that contains all files it needs to run. I'd rather not spend time trying to figure out what I would or would not need from the Github repo. Thanks.
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By AndrewPapale - 9/19/2023
+x+x+x+x+x+xDear Inquisit Team, I have a list: <list rt_359> / items = ( 42, 41, 42, 39, 37, 38, 31, 35, 28, 25, 20, 17, 21, 29, 25, 28, 36, 39, 36, 37, 38, 38, 36, 36, 35, 26, 29, 24, 28, 28, 31, 32, 36, 38, 38, 42, 44, 52, 56, 58, 62, 54, 65, 78, 83, 90, 92, 105, 127, 126, 147, 163, 161, 149, 143, 139, 141, 143, 161, 161, 159, 160, 158, 136, 129, 116, 127, 126, 132, 119, 111, 112, 111, 104, 97, 90, 80, 70, 62, 48, 48, 47, 45, 42, 40, 37, 36, 37, 34, 39, 38, 34, 34, 30, 28, 25, 20, 18, 19, 19, 10, 11, 5, 8, 11, 14, 20, 25, 33, 39, 41, 42, 41, 41, 43, 64, 76, 89, 101, 113, 126, 135, 138, 149, 143, 156, 160, 159, 163, 162, 163, 163, 163, 157, 160, 162, 161, 162, 149, 151, 155, 161, 161, 156, 159, 155, 149, 131, 118, 103, 97, 89, 76, 48, 47, 46, 46, 45, 44, 43, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 41, 42, 42, 40, 34, 33, 37, 28, 28, 33, 35, 34, 30, 28, 33, 34, 35, 35, 36, 39, 42, 47, 46, 43, 41, 41, 41, 39, 37, 40, 39, 30, 20, 17, 11, 19, 21, 19, 10, 9, 5, 6, 3, 6, 4, 3, 3, 3, 4, 3, 7, 11, 16, 20, 24, 28, 32, 36, 40, 48, 47, 46, 45, 45, 44, 43, 42, 40, 40, 40, 41, 40, 36, 38, 39, 38, 36, 37, 33, 31, 33, 31, 32, 30, 28, 28, 30, 31, 37, 40, 39, 39, 44, 45, 46, 47, 52, 54, 54, 61, 62, 77, 89, 94, 81, 76, 84, 91, 86, 107, 84, 99, 110, 86, 81, 62, 67, 53, 47, 62, 68, 57, 43, 44, 44, 46, 44, 58, 50, 50, 45, 46, 44, 41, 38, 35, 35, 34, 32, 27, 23, 21, 22, 17, 16, 9, 8, 8, 5, 6, 4, 3, 3, 3, 3, 3, 4, 4, 9, 14, 18, 22, 27, 32, 37, 41, 44, 41, 38, 39, 37,35) / poolsize = 316 / selectionmode = sequence </list> For each trial, I want the list to advance by one value. This is working fine with the current code. Now, for different groups in my experiment, I want to start the list at a different index. e.g. group 1 starts at index 1 (42) group 2 starts at index 50 (105), etc. Is this possible? I could not find a way to do it. Thanks, Andrew You can use a value to determine the list's selection, like you can do basically anywhere else. I.e. <values> / index = 0 </values> with <list rt_359> ... / selectionmode = values.index </list> Increment the value bye one in every trial, which does the same thing as selecting sequentially. Set the value to whatever start value you need for each group you have, be it 0, 49, or whatever else the case may be. Here's a runnable example. First group gets index 1 in the first trial, second group gets inex 340 in the first trial, so you can see how things wrap around (the list has 345 items, so once you've shown item 345, you need to wrap around back to item 1). <values> / index = 0 </values>
<list rt_359> / items = ( 42, 41, 42, 39, 37, 38, 31, 35, 28, 25, 20, 17, 21, 29, 25, 28, 36, 39, 36, 37, 38, 38, 36, 36, 35, 26, 29, 24, 28, 28, 31, 32, 36, 38, 38, 42, 44, 52, 56, 58, 62, 54, 65, 78, 83, 90, 92, 105, 127, 126, 147, 163, 161, 149, 143, 139, 141, 143, 161, 161, 159, 160, 158, 136, 129, 116, 127, 126, 132, 119, 111, 112, 111, 104, 97, 90, 80, 70, 62, 48, 48, 47, 45, 42, 40, 37, 36, 37, 34, 39, 38, 34, 34, 30, 28, 25, 20, 18, 19, 19, 10, 11, 5, 8, 11, 14, 20, 25, 33, 39, 41, 42, 41, 41, 43, 64, 76, 89, 101, 113, 126, 135, 138, 149, 143, 156, 160, 159, 163, 162, 163, 163, 163, 157, 160, 162, 161, 162, 149, 151, 155, 161, 161, 156, 159, 155, 149, 131, 118, 103, 97, 89, 76, 48, 47, 46, 46, 45, 44, 43, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 41, 42, 42, 40, 34, 33, 37, 28, 28, 33, 35, 34, 30, 28, 33, 34, 35, 35, 36, 39, 42, 47, 46, 43, 41, 41, 41, 39, 37, 40, 39, 30, 20, 17, 11, 19, 21, 19, 10, 9, 5, 6, 3, 6, 4, 3, 3, 3, 4, 3, 7, 11, 16, 20, 24, 28, 32, 36, 40, 48, 47, 46, 45, 45, 44, 43, 42, 40, 40, 40, 41, 40, 36, 38, 39, 38, 36, 37, 33, 31, 33, 31, 32, 30, 28, 28, 30, 31, 37, 40, 39, 39, 44, 45, 46, 47, 52, 54, 54, 61, 62, 77, 89, 94, 81, 76, 84, 91, 86, 107, 84, 99, 110, 86, 81, 62, 67, 53, 47, 62, 68, 57, 43, 44, 44, 46, 44, 58, 50, 50, 45, 46, 44, 41, 38, 35, 35, 34, 32, 27, 23, 21, 22, 17, 16, 9, 8, 8, 5, 6, 4, 3, 3, 3, 3, 3, 4, 4, 9, 14, 18, 22, 27, 32, 37, 41, 44, 41, 38, 39, 37,35) / selectionmode = values.index </list>
<trial mytrial> / ontrialbegin = [ values.index += 1; // increment index by 1 values.index = mod(values.index - 1, list.rt_359.itemcount) + 1; // make sure we wrap around to index 1 ] / stimulusframes = [1=text.mytext] / validresponse = (57) </trial>
<text mytext> / items = ("List value: <%list.rt_359.nextvalue%> | List index: <%list.rt_359.currentindex%> (<%values.index%>) | Group: <%script.groupid%>") </text>
<block myblock> / trials = [1-345 = trial.mytrial] </block>
<expt a> / onexptbegin = [ values.index = 0; ] / blocks = [1 = block.myblock] / groups = (1 of 2) </expt>
<expt b> / onexptbegin = [ values.index = 339; ] / blocks = [1 = block.myblock] / groups = (2 of 2) </expt> The example script works beautifully, thanks Dave! However, when I try to apply this approach to my actual experiment the list.rt_359.currentindex never iterates. The index iterates successfully where it is supposed to. Any ideas? Would you like to see my full script? It's a bear. Andrew https://github.com/andrewpapale/Clock_v2/blob/main/EEG_clock_v2_0_4.iqx Maybe you could be so kind and point out the relevant parts of the code and show what exactly you implemented where and how. It would also be nice if you could provide some kind of packaged up version of the script that contains all files it needs to run. I'd rather not spend time trying to figure out what I would or would not need from the Github repo. Thanks. Thanks. Understood. I think I will break it down and try a simplified version and then build up and see at what point it breaks. I think I can figure this out.
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By Dave - 9/19/2023
+x+x+x+x+x+x+xDear Inquisit Team, I have a list: <list rt_359> / items = ( 42, 41, 42, 39, 37, 38, 31, 35, 28, 25, 20, 17, 21, 29, 25, 28, 36, 39, 36, 37, 38, 38, 36, 36, 35, 26, 29, 24, 28, 28, 31, 32, 36, 38, 38, 42, 44, 52, 56, 58, 62, 54, 65, 78, 83, 90, 92, 105, 127, 126, 147, 163, 161, 149, 143, 139, 141, 143, 161, 161, 159, 160, 158, 136, 129, 116, 127, 126, 132, 119, 111, 112, 111, 104, 97, 90, 80, 70, 62, 48, 48, 47, 45, 42, 40, 37, 36, 37, 34, 39, 38, 34, 34, 30, 28, 25, 20, 18, 19, 19, 10, 11, 5, 8, 11, 14, 20, 25, 33, 39, 41, 42, 41, 41, 43, 64, 76, 89, 101, 113, 126, 135, 138, 149, 143, 156, 160, 159, 163, 162, 163, 163, 163, 157, 160, 162, 161, 162, 149, 151, 155, 161, 161, 156, 159, 155, 149, 131, 118, 103, 97, 89, 76, 48, 47, 46, 46, 45, 44, 43, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 41, 42, 42, 40, 34, 33, 37, 28, 28, 33, 35, 34, 30, 28, 33, 34, 35, 35, 36, 39, 42, 47, 46, 43, 41, 41, 41, 39, 37, 40, 39, 30, 20, 17, 11, 19, 21, 19, 10, 9, 5, 6, 3, 6, 4, 3, 3, 3, 4, 3, 7, 11, 16, 20, 24, 28, 32, 36, 40, 48, 47, 46, 45, 45, 44, 43, 42, 40, 40, 40, 41, 40, 36, 38, 39, 38, 36, 37, 33, 31, 33, 31, 32, 30, 28, 28, 30, 31, 37, 40, 39, 39, 44, 45, 46, 47, 52, 54, 54, 61, 62, 77, 89, 94, 81, 76, 84, 91, 86, 107, 84, 99, 110, 86, 81, 62, 67, 53, 47, 62, 68, 57, 43, 44, 44, 46, 44, 58, 50, 50, 45, 46, 44, 41, 38, 35, 35, 34, 32, 27, 23, 21, 22, 17, 16, 9, 8, 8, 5, 6, 4, 3, 3, 3, 3, 3, 4, 4, 9, 14, 18, 22, 27, 32, 37, 41, 44, 41, 38, 39, 37,35) / poolsize = 316 / selectionmode = sequence </list> For each trial, I want the list to advance by one value. This is working fine with the current code. Now, for different groups in my experiment, I want to start the list at a different index. e.g. group 1 starts at index 1 (42) group 2 starts at index 50 (105), etc. Is this possible? I could not find a way to do it. Thanks, Andrew You can use a value to determine the list's selection, like you can do basically anywhere else. I.e. <values> / index = 0 </values> with <list rt_359> ... / selectionmode = values.index </list> Increment the value bye one in every trial, which does the same thing as selecting sequentially. Set the value to whatever start value you need for each group you have, be it 0, 49, or whatever else the case may be. Here's a runnable example. First group gets index 1 in the first trial, second group gets inex 340 in the first trial, so you can see how things wrap around (the list has 345 items, so once you've shown item 345, you need to wrap around back to item 1). <values> / index = 0 </values>
<list rt_359> / items = ( 42, 41, 42, 39, 37, 38, 31, 35, 28, 25, 20, 17, 21, 29, 25, 28, 36, 39, 36, 37, 38, 38, 36, 36, 35, 26, 29, 24, 28, 28, 31, 32, 36, 38, 38, 42, 44, 52, 56, 58, 62, 54, 65, 78, 83, 90, 92, 105, 127, 126, 147, 163, 161, 149, 143, 139, 141, 143, 161, 161, 159, 160, 158, 136, 129, 116, 127, 126, 132, 119, 111, 112, 111, 104, 97, 90, 80, 70, 62, 48, 48, 47, 45, 42, 40, 37, 36, 37, 34, 39, 38, 34, 34, 30, 28, 25, 20, 18, 19, 19, 10, 11, 5, 8, 11, 14, 20, 25, 33, 39, 41, 42, 41, 41, 43, 64, 76, 89, 101, 113, 126, 135, 138, 149, 143, 156, 160, 159, 163, 162, 163, 163, 163, 157, 160, 162, 161, 162, 149, 151, 155, 161, 161, 156, 159, 155, 149, 131, 118, 103, 97, 89, 76, 48, 47, 46, 46, 45, 44, 43, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 41, 42, 42, 40, 34, 33, 37, 28, 28, 33, 35, 34, 30, 28, 33, 34, 35, 35, 36, 39, 42, 47, 46, 43, 41, 41, 41, 39, 37, 40, 39, 30, 20, 17, 11, 19, 21, 19, 10, 9, 5, 6, 3, 6, 4, 3, 3, 3, 4, 3, 7, 11, 16, 20, 24, 28, 32, 36, 40, 48, 47, 46, 45, 45, 44, 43, 42, 40, 40, 40, 41, 40, 36, 38, 39, 38, 36, 37, 33, 31, 33, 31, 32, 30, 28, 28, 30, 31, 37, 40, 39, 39, 44, 45, 46, 47, 52, 54, 54, 61, 62, 77, 89, 94, 81, 76, 84, 91, 86, 107, 84, 99, 110, 86, 81, 62, 67, 53, 47, 62, 68, 57, 43, 44, 44, 46, 44, 58, 50, 50, 45, 46, 44, 41, 38, 35, 35, 34, 32, 27, 23, 21, 22, 17, 16, 9, 8, 8, 5, 6, 4, 3, 3, 3, 3, 3, 4, 4, 9, 14, 18, 22, 27, 32, 37, 41, 44, 41, 38, 39, 37,35) / selectionmode = values.index </list>
<trial mytrial> / ontrialbegin = [ values.index += 1; // increment index by 1 values.index = mod(values.index - 1, list.rt_359.itemcount) + 1; // make sure we wrap around to index 1 ] / stimulusframes = [1=text.mytext] / validresponse = (57) </trial>
<text mytext> / items = ("List value: <%list.rt_359.nextvalue%> | List index: <%list.rt_359.currentindex%> (<%values.index%>) | Group: <%script.groupid%>") </text>
<block myblock> / trials = [1-345 = trial.mytrial] </block>
<expt a> / onexptbegin = [ values.index = 0; ] / blocks = [1 = block.myblock] / groups = (1 of 2) </expt>
<expt b> / onexptbegin = [ values.index = 339; ] / blocks = [1 = block.myblock] / groups = (2 of 2) </expt> The example script works beautifully, thanks Dave! However, when I try to apply this approach to my actual experiment the list.rt_359.currentindex never iterates. The index iterates successfully where it is supposed to. Any ideas? Would you like to see my full script? It's a bear. Andrew https://github.com/andrewpapale/Clock_v2/blob/main/EEG_clock_v2_0_4.iqx Maybe you could be so kind and point out the relevant parts of the code and show what exactly you implemented where and how. It would also be nice if you could provide some kind of packaged up version of the script that contains all files it needs to run. I'd rather not spend time trying to figure out what I would or would not need from the Github repo. Thanks. Thanks. Understood. I think I will break it down and try a simplified version and then build up and see at what point it breaks. I think I can figure this out. Glancing at the script, I don't see any place where you actually sample a value from the respective lists (of which there appear to be many). You use currentvalue throughout
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)
but currentvalue does not effectuate a sample from the list. nextvalue does.
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By AndrewPapale - 9/19/2023
+x+x+x+x+x+x+x+xDear Inquisit Team, I have a list: <list rt_359> / items = ( 42, 41, 42, 39, 37, 38, 31, 35, 28, 25, 20, 17, 21, 29, 25, 28, 36, 39, 36, 37, 38, 38, 36, 36, 35, 26, 29, 24, 28, 28, 31, 32, 36, 38, 38, 42, 44, 52, 56, 58, 62, 54, 65, 78, 83, 90, 92, 105, 127, 126, 147, 163, 161, 149, 143, 139, 141, 143, 161, 161, 159, 160, 158, 136, 129, 116, 127, 126, 132, 119, 111, 112, 111, 104, 97, 90, 80, 70, 62, 48, 48, 47, 45, 42, 40, 37, 36, 37, 34, 39, 38, 34, 34, 30, 28, 25, 20, 18, 19, 19, 10, 11, 5, 8, 11, 14, 20, 25, 33, 39, 41, 42, 41, 41, 43, 64, 76, 89, 101, 113, 126, 135, 138, 149, 143, 156, 160, 159, 163, 162, 163, 163, 163, 157, 160, 162, 161, 162, 149, 151, 155, 161, 161, 156, 159, 155, 149, 131, 118, 103, 97, 89, 76, 48, 47, 46, 46, 45, 44, 43, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 41, 42, 42, 40, 34, 33, 37, 28, 28, 33, 35, 34, 30, 28, 33, 34, 35, 35, 36, 39, 42, 47, 46, 43, 41, 41, 41, 39, 37, 40, 39, 30, 20, 17, 11, 19, 21, 19, 10, 9, 5, 6, 3, 6, 4, 3, 3, 3, 4, 3, 7, 11, 16, 20, 24, 28, 32, 36, 40, 48, 47, 46, 45, 45, 44, 43, 42, 40, 40, 40, 41, 40, 36, 38, 39, 38, 36, 37, 33, 31, 33, 31, 32, 30, 28, 28, 30, 31, 37, 40, 39, 39, 44, 45, 46, 47, 52, 54, 54, 61, 62, 77, 89, 94, 81, 76, 84, 91, 86, 107, 84, 99, 110, 86, 81, 62, 67, 53, 47, 62, 68, 57, 43, 44, 44, 46, 44, 58, 50, 50, 45, 46, 44, 41, 38, 35, 35, 34, 32, 27, 23, 21, 22, 17, 16, 9, 8, 8, 5, 6, 4, 3, 3, 3, 3, 3, 4, 4, 9, 14, 18, 22, 27, 32, 37, 41, 44, 41, 38, 39, 37,35) / poolsize = 316 / selectionmode = sequence </list> For each trial, I want the list to advance by one value. This is working fine with the current code. Now, for different groups in my experiment, I want to start the list at a different index. e.g. group 1 starts at index 1 (42) group 2 starts at index 50 (105), etc. Is this possible? I could not find a way to do it. Thanks, Andrew You can use a value to determine the list's selection, like you can do basically anywhere else. I.e. <values> / index = 0 </values> with <list rt_359> ... / selectionmode = values.index </list> Increment the value bye one in every trial, which does the same thing as selecting sequentially. Set the value to whatever start value you need for each group you have, be it 0, 49, or whatever else the case may be. Here's a runnable example. First group gets index 1 in the first trial, second group gets inex 340 in the first trial, so you can see how things wrap around (the list has 345 items, so once you've shown item 345, you need to wrap around back to item 1). <values> / index = 0 </values>
<list rt_359> / items = ( 42, 41, 42, 39, 37, 38, 31, 35, 28, 25, 20, 17, 21, 29, 25, 28, 36, 39, 36, 37, 38, 38, 36, 36, 35, 26, 29, 24, 28, 28, 31, 32, 36, 38, 38, 42, 44, 52, 56, 58, 62, 54, 65, 78, 83, 90, 92, 105, 127, 126, 147, 163, 161, 149, 143, 139, 141, 143, 161, 161, 159, 160, 158, 136, 129, 116, 127, 126, 132, 119, 111, 112, 111, 104, 97, 90, 80, 70, 62, 48, 48, 47, 45, 42, 40, 37, 36, 37, 34, 39, 38, 34, 34, 30, 28, 25, 20, 18, 19, 19, 10, 11, 5, 8, 11, 14, 20, 25, 33, 39, 41, 42, 41, 41, 43, 64, 76, 89, 101, 113, 126, 135, 138, 149, 143, 156, 160, 159, 163, 162, 163, 163, 163, 157, 160, 162, 161, 162, 149, 151, 155, 161, 161, 156, 159, 155, 149, 131, 118, 103, 97, 89, 76, 48, 47, 46, 46, 45, 44, 43, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 41, 42, 42, 40, 34, 33, 37, 28, 28, 33, 35, 34, 30, 28, 33, 34, 35, 35, 36, 39, 42, 47, 46, 43, 41, 41, 41, 39, 37, 40, 39, 30, 20, 17, 11, 19, 21, 19, 10, 9, 5, 6, 3, 6, 4, 3, 3, 3, 4, 3, 7, 11, 16, 20, 24, 28, 32, 36, 40, 48, 47, 46, 45, 45, 44, 43, 42, 40, 40, 40, 41, 40, 36, 38, 39, 38, 36, 37, 33, 31, 33, 31, 32, 30, 28, 28, 30, 31, 37, 40, 39, 39, 44, 45, 46, 47, 52, 54, 54, 61, 62, 77, 89, 94, 81, 76, 84, 91, 86, 107, 84, 99, 110, 86, 81, 62, 67, 53, 47, 62, 68, 57, 43, 44, 44, 46, 44, 58, 50, 50, 45, 46, 44, 41, 38, 35, 35, 34, 32, 27, 23, 21, 22, 17, 16, 9, 8, 8, 5, 6, 4, 3, 3, 3, 3, 3, 4, 4, 9, 14, 18, 22, 27, 32, 37, 41, 44, 41, 38, 39, 37,35) / selectionmode = values.index </list>
<trial mytrial> / ontrialbegin = [ values.index += 1; // increment index by 1 values.index = mod(values.index - 1, list.rt_359.itemcount) + 1; // make sure we wrap around to index 1 ] / stimulusframes = [1=text.mytext] / validresponse = (57) </trial>
<text mytext> / items = ("List value: <%list.rt_359.nextvalue%> | List index: <%list.rt_359.currentindex%> (<%values.index%>) | Group: <%script.groupid%>") </text>
<block myblock> / trials = [1-345 = trial.mytrial] </block>
<expt a> / onexptbegin = [ values.index = 0; ] / blocks = [1 = block.myblock] / groups = (1 of 2) </expt>
<expt b> / onexptbegin = [ values.index = 339; ] / blocks = [1 = block.myblock] / groups = (2 of 2) </expt> The example script works beautifully, thanks Dave! However, when I try to apply this approach to my actual experiment the list.rt_359.currentindex never iterates. The index iterates successfully where it is supposed to. Any ideas? Would you like to see my full script? It's a bear. Andrew https://github.com/andrewpapale/Clock_v2/blob/main/EEG_clock_v2_0_4.iqx Maybe you could be so kind and point out the relevant parts of the code and show what exactly you implemented where and how. It would also be nice if you could provide some kind of packaged up version of the script that contains all files it needs to run. I'd rather not spend time trying to figure out what I would or would not need from the Github repo. Thanks. Thanks. Understood. I think I will break it down and try a simplified version and then build up and see at what point it breaks. I think I can figure this out. Glancing at the script, I don't see any place where you actually sample a value from the respective lists (of which there appear to be many). You use currentvalue throughout ![](data:image/png;base64,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) but currentvalue does not effectuate a sample from the list. nextvalue does. Thanks, wasn't really clear on the nextvalue vs currentvalue distinction.
That worked. Thanks. The list indices still aren't updating for some reason, but the list value matches values.index.
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By AndrewPapale - 9/19/2023
+x+x+x+x+x+x+x+x+xDear Inquisit Team, I have a list: <list rt_359> / items = ( 42, 41, 42, 39, 37, 38, 31, 35, 28, 25, 20, 17, 21, 29, 25, 28, 36, 39, 36, 37, 38, 38, 36, 36, 35, 26, 29, 24, 28, 28, 31, 32, 36, 38, 38, 42, 44, 52, 56, 58, 62, 54, 65, 78, 83, 90, 92, 105, 127, 126, 147, 163, 161, 149, 143, 139, 141, 143, 161, 161, 159, 160, 158, 136, 129, 116, 127, 126, 132, 119, 111, 112, 111, 104, 97, 90, 80, 70, 62, 48, 48, 47, 45, 42, 40, 37, 36, 37, 34, 39, 38, 34, 34, 30, 28, 25, 20, 18, 19, 19, 10, 11, 5, 8, 11, 14, 20, 25, 33, 39, 41, 42, 41, 41, 43, 64, 76, 89, 101, 113, 126, 135, 138, 149, 143, 156, 160, 159, 163, 162, 163, 163, 163, 157, 160, 162, 161, 162, 149, 151, 155, 161, 161, 156, 159, 155, 149, 131, 118, 103, 97, 89, 76, 48, 47, 46, 46, 45, 44, 43, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 41, 42, 42, 40, 34, 33, 37, 28, 28, 33, 35, 34, 30, 28, 33, 34, 35, 35, 36, 39, 42, 47, 46, 43, 41, 41, 41, 39, 37, 40, 39, 30, 20, 17, 11, 19, 21, 19, 10, 9, 5, 6, 3, 6, 4, 3, 3, 3, 4, 3, 7, 11, 16, 20, 24, 28, 32, 36, 40, 48, 47, 46, 45, 45, 44, 43, 42, 40, 40, 40, 41, 40, 36, 38, 39, 38, 36, 37, 33, 31, 33, 31, 32, 30, 28, 28, 30, 31, 37, 40, 39, 39, 44, 45, 46, 47, 52, 54, 54, 61, 62, 77, 89, 94, 81, 76, 84, 91, 86, 107, 84, 99, 110, 86, 81, 62, 67, 53, 47, 62, 68, 57, 43, 44, 44, 46, 44, 58, 50, 50, 45, 46, 44, 41, 38, 35, 35, 34, 32, 27, 23, 21, 22, 17, 16, 9, 8, 8, 5, 6, 4, 3, 3, 3, 3, 3, 4, 4, 9, 14, 18, 22, 27, 32, 37, 41, 44, 41, 38, 39, 37,35) / poolsize = 316 / selectionmode = sequence </list> For each trial, I want the list to advance by one value. This is working fine with the current code. Now, for different groups in my experiment, I want to start the list at a different index. e.g. group 1 starts at index 1 (42) group 2 starts at index 50 (105), etc. Is this possible? I could not find a way to do it. Thanks, Andrew You can use a value to determine the list's selection, like you can do basically anywhere else. I.e. <values> / index = 0 </values> with <list rt_359> ... / selectionmode = values.index </list> Increment the value bye one in every trial, which does the same thing as selecting sequentially. Set the value to whatever start value you need for each group you have, be it 0, 49, or whatever else the case may be. Here's a runnable example. First group gets index 1 in the first trial, second group gets inex 340 in the first trial, so you can see how things wrap around (the list has 345 items, so once you've shown item 345, you need to wrap around back to item 1). <values> / index = 0 </values>
<list rt_359> / items = ( 42, 41, 42, 39, 37, 38, 31, 35, 28, 25, 20, 17, 21, 29, 25, 28, 36, 39, 36, 37, 38, 38, 36, 36, 35, 26, 29, 24, 28, 28, 31, 32, 36, 38, 38, 42, 44, 52, 56, 58, 62, 54, 65, 78, 83, 90, 92, 105, 127, 126, 147, 163, 161, 149, 143, 139, 141, 143, 161, 161, 159, 160, 158, 136, 129, 116, 127, 126, 132, 119, 111, 112, 111, 104, 97, 90, 80, 70, 62, 48, 48, 47, 45, 42, 40, 37, 36, 37, 34, 39, 38, 34, 34, 30, 28, 25, 20, 18, 19, 19, 10, 11, 5, 8, 11, 14, 20, 25, 33, 39, 41, 42, 41, 41, 43, 64, 76, 89, 101, 113, 126, 135, 138, 149, 143, 156, 160, 159, 163, 162, 163, 163, 163, 157, 160, 162, 161, 162, 149, 151, 155, 161, 161, 156, 159, 155, 149, 131, 118, 103, 97, 89, 76, 48, 47, 46, 46, 45, 44, 43, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 41, 42, 42, 40, 34, 33, 37, 28, 28, 33, 35, 34, 30, 28, 33, 34, 35, 35, 36, 39, 42, 47, 46, 43, 41, 41, 41, 39, 37, 40, 39, 30, 20, 17, 11, 19, 21, 19, 10, 9, 5, 6, 3, 6, 4, 3, 3, 3, 4, 3, 7, 11, 16, 20, 24, 28, 32, 36, 40, 48, 47, 46, 45, 45, 44, 43, 42, 40, 40, 40, 41, 40, 36, 38, 39, 38, 36, 37, 33, 31, 33, 31, 32, 30, 28, 28, 30, 31, 37, 40, 39, 39, 44, 45, 46, 47, 52, 54, 54, 61, 62, 77, 89, 94, 81, 76, 84, 91, 86, 107, 84, 99, 110, 86, 81, 62, 67, 53, 47, 62, 68, 57, 43, 44, 44, 46, 44, 58, 50, 50, 45, 46, 44, 41, 38, 35, 35, 34, 32, 27, 23, 21, 22, 17, 16, 9, 8, 8, 5, 6, 4, 3, 3, 3, 3, 3, 4, 4, 9, 14, 18, 22, 27, 32, 37, 41, 44, 41, 38, 39, 37,35) / selectionmode = values.index </list>
<trial mytrial> / ontrialbegin = [ values.index += 1; // increment index by 1 values.index = mod(values.index - 1, list.rt_359.itemcount) + 1; // make sure we wrap around to index 1 ] / stimulusframes = [1=text.mytext] / validresponse = (57) </trial>
<text mytext> / items = ("List value: <%list.rt_359.nextvalue%> | List index: <%list.rt_359.currentindex%> (<%values.index%>) | Group: <%script.groupid%>") </text>
<block myblock> / trials = [1-345 = trial.mytrial] </block>
<expt a> / onexptbegin = [ values.index = 0; ] / blocks = [1 = block.myblock] / groups = (1 of 2) </expt>
<expt b> / onexptbegin = [ values.index = 339; ] / blocks = [1 = block.myblock] / groups = (2 of 2) </expt> The example script works beautifully, thanks Dave! However, when I try to apply this approach to my actual experiment the list.rt_359.currentindex never iterates. The index iterates successfully where it is supposed to. Any ideas? Would you like to see my full script? It's a bear. Andrew https://github.com/andrewpapale/Clock_v2/blob/main/EEG_clock_v2_0_4.iqx Maybe you could be so kind and point out the relevant parts of the code and show what exactly you implemented where and how. It would also be nice if you could provide some kind of packaged up version of the script that contains all files it needs to run. I'd rather not spend time trying to figure out what I would or would not need from the Github repo. Thanks. Thanks. Understood. I think I will break it down and try a simplified version and then build up and see at what point it breaks. I think I can figure this out. Glancing at the script, I don't see any place where you actually sample a value from the respective lists (of which there appear to be many). You use currentvalue throughout ![](data:image/png;base64,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) but currentvalue does not effectuate a sample from the list. nextvalue does. Thanks, wasn't really clear on the nextvalue vs currentvalue distinction. That worked. Thanks. The list indices still aren't updating for some reason, but the list value matches values.index. Adding in :
list.rt_0.nextindex; list.rt_1.nextindex; list.rt_2.nextindex; .....
to <trial ITI>
after updating values.index
fixes it. Thanks so much.
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