Now I want to deploy the study online and collect data. The Excel file with the data that I receive after doing the study is hard to interpret. The Excel file includes a lot of rows that I don't know the meaning of. After collecting the data I want to analyse it with RStudio.
Does someone know how to interpret the Excel file and the many different rows and columns in it? Can I maybe simplify the Excel document? And how can I best transfer the data to RStudio?
It would really appreciate any help!
Thank you and best regards
Katharina
It would be a great help already to understand following variables in the output of the N-back-task @FelixHenninger :
time_commit
time_end
time_render
time_run
time_show
time_switch
I created a study in lab.js and implemented the N-back-task from @FelixHenninger : https://github.com/FelixHenninger/lab.js/tree/650b3ae2266f51544d881b01707cb807c4bcdd86/tasks/N-back%20task I implemented the 0-, 1- and 2-back-task.
Now I want to deploy the study online and collect data. The Excel file with the data that I receive after doing the study is hard to interpret. The Excel file includes a lot of rows that I don't know the meaning of. After collecting the data I want to analyse it with RStudio. Does someone know how to interpret the Excel file and the many different rows and columns in it? Can I maybe simplify the Excel document? And how can I best transfer the data to RStudio?
It would really appreciate any help! Thank you and best regards Katharina