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time cluster'-type analysis using a 1-sample t-test #65
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Hi, I agree that this feature would be really useful. In the meantime, I have a little work-around that I'm pretty confidence isn't statistically bad. The idea is to trick eyetrackingR by creating a chance-level dataset to compare the actual data to:
After that, you can just run the analysis using
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@respatte Great, I will try that. Thanks a lot for your help |
hi! this is great, thanks @respatte . My issue is that the cluster analysis does not provide a t or p statistic as far as I can tell. The function analyze_time_bins produces these but I don't think your method will work with analyze_time_bins. Any recommendations? |
@sambfloyd I didn't test it but I don't see why this workaround wouldn't work with |
@respatte sorry for not updating, I did exactly that and forgot to post -- it works great. The only minor issue I have (with both clusters and bins) is the mutate_at line of code- it runs but it seems to recode the Chance variable weirdly-- when I look at the levels it says character(0) instead of NULL (which does work for the analysis). But I just run it without that since chance is comes out as having NULL levels before that line. |
Hi
First of all, thanks for the useful EytrackingR website. I would like to run a 'time cluster'-type analysis using a 1-sample t-test to test when the bias to a target AOI significantly exceeds chance (in our experiment .25; with time as a continuous variable in 50ms bins). Is this possible in the current functions, please?
Many thanks
Mahsa
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