Leonie1898

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• Hi, not answering was not possible in my study. I ran your recommended code and got this: https://forum.cogsci.nl/uploads/161/CFJPGNIWF3FP.png Unfortunately I am no expert in R or in handling mousetracking data, so I don't understand what this means…

  in mt_measures warning - identical points Comment by Leonie1898 January 2020
• Hi, I get the same warning message with one of my subdatasets. I tried this: mt_example <- mt_time_normalize(mt_example) table(rowSums(mt_example$tn_trajectories[,1,c("xpos","ypos")] == mt_example$tn_trajectories[,101,c("…

  in mt_measures warning - identical points Comment by Leonie1898 January 2020
• Hi Pascal, WOW! Thank you very much! This fixed my problem :) Best, Leonie

  in mt_aggregate Comment by Leonie1898 January 2020
• Hi Pascal, I think I found the problem: In gorilla.traj I have the variable "spreadsheet_row". This shows me which stimulus was presented to the participant. Now I see that in gorilla.traj I have too much spreatsheet_rows per trial. (for e…

  in mt_aggregate Comment by Leonie1898 January 2020
• Hi Pascal, > gorilla_mt<-mt_import_long(gorilla.traj,xpos_label="x",ypos_label = "y",timestamps_label = "time_stamp", mt_id_label="spreadsheet_row") warning message: No mt_seq variable found (that indic…

  in mt_aggregate Comment by Leonie1898 January 2020
• Hi Pascal, yes they differ: > nrow(gorilla_mt$data) [1] 3155 > nrow(gorilla_mt$measures) [1] 72 Best, Leonie

  in mt_aggregate Comment by Leonie1898 January 2020
• Hi, test3<-mt_aggregate_per_subject(gorilla_mt, use = "measures", use_variables = "MAD",                 use2 = "data", use2_variables = "condition", subject_id="participant_id",                 t…

  in mt_aggregate Comment by Leonie1898 January 2020