Closed MalikQasimAli closed 3 years ago
Sure, this package doesn't care about the file format. You just have to read the data and then pass it to the function detect.fixations
as a data frame. See the instructions and mini tutorial on the startpage of this tutorial. If you have data in .tsv
format, you can read it with the function read_tsv
from the readr package.
Hi, Thank you for your reply. It worked on my CSV file. The time in my column start with "610327747" which looked like nanoseconds. Shall I convert it into ms? or what would be the best practice? I cannot find Saccad Function. Did you integrate the Saccade algorithm?
I doubt that these are nanoseconds (too short to be measurable with an eye-tracker). Most eye-trackers use milliseconds which is the unit I use as well. Check your eye-tracker's manual.
Hi, I converted the time in milliseconds. Can you please help me with how can I detect Saccades? Thanks
@MalikQasimAli under different circumstances I'd try to help you, but things are difficult at this time with the pandemic going on, the child at home, and work piling up. I recommend studying the example on the start page of the repository. Your data needs to be in the same shape as the sample data and then you can just follow the code of the example.
Hi, yes I run the code, and it's working. I see you have the function of detect.Saccade. Is it working?
Hi, Thank you for the great tool. I have data files in text and tsv formats. Can we use that?