a.g.leontiev
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@Pascal Thank you for the prompt response. Here is the output, and I think you are correct, but how we get rid of it later so that we can still calculate stopping distance for a given time delay? > warnings() Warning messages: 1: In FUN(newX[, i]…
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Hi! I am unfortunately having this issue again:#### 100 ms #### m100msstop <- subset(mydata, vol == 1 & ssd == 0.1) mt_sst <- mt_import_mousetrap( + m100msstop, + xpos_label = "mouse_sst.x", + ypos_label = "mouse_…
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Hi! I am unfortunately having this issue again:#### 100 ms #### m100msstop <- subset(mydata, vol == 1 & ssd == 0.1) mt_sst <- mt_import_mousetrap( + m100msstop, + xpos_label = "mouse_sst.x", + ypos_label = "mouse_…
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I meant not in the first part of a trial, but let's say first 100 of ALL trials :)
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I have re-run everything and it worked smoothly without throwing any error. I guess i just had to restart R? I also have an (unrelated) question. Is there a way to calculate measures not over ALL trials, but let's say first half of the trials? Than…
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Thank you so much!
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Thank you soo much! that does indeed help!
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Hi again! Yes they are. Best, Anton
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I have another (tangentially related) question. In one of the previous theme (long ago) you provided the way to calculate the distance after certain amount of time (for example). Is there any way to make it trial by trial? In our stop-signal task, t…
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What I have in mind is first 25% of trajectory. Is it possible to compute maximum AND averafe acceleration on this part?
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I have another question. Should I want to calculate other measures, like acceleration and velocity, will setting trajectories to zero be sufficient? In other words, if i want to calculate say velocity after certain time period, do I only need to ch…
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thank you!
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This is how I did it: average_measures <- mt_aggregate_per_subject( mt_data, use="measures", use_variables=c("total_dist_600"), subject_id="subjID")
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Thank you so much! It really does help! I have one additional question: how do I summarize these measures by subjID (and possibly, by some other factors)? thank you!