basille
commented
2 years ago From what I understand, it really is a single function (read.asc) to import plain-text ASC data files from EyeLink eye trackers. Behind the scene, there is quite a lot of heavy processing to get usable data in R though.
To me, it's clearly pre-processing (not post-), as it goes from raw data to x/y/t format. But we should make it explicit in the CTV that import is in this category.
rociojoo
Are you the author of the package?
No
Is the package on a specific repository?
CRAN
Please provide the URL of the package repository
https://cran.r-project.org/package=eyelinker
Is there a dedicated website for the documentation (e.g. a pkgdown website)?
Not really but see https://cran.r-project.org/web/packages/eyelinker/vignettes/basics.html
If you are the author of the package, does it pass CRAN check tests?
Yes (CRAN package).
Additional information
Briefly, can you describe the purpose of this package and how it fits into the Tracking CTV? It works with eye tracking data (x, y, time)
In terms of the tracking workflow (see Figure in the CTV), where does the package fit? (Feel free to mention any particular functions and how they fit as well.) I'd say postprocessing because it allows going from raw ASC files to tidy data frames.
downsamplingis done with thefilterfunction indplyrso I wouldn't count it as a role of the package It seems to be more like a tutorial to deal with eye tracking data that includes examples.@basille I would appreciate your opinion on this one.