PupillometryR
PupillometryR copied to clipboard
samhforbes
An R package for preparing and analysing pupillometry data
Hi ! I am having an issue with the regressed_data function. The message error says : Error in `group_data()`: ! `.data` must be a valid object. Caused by error in...
Thank you for this great tool! Can I process/display and run stat for 2x2 design (i.e. Pre-post + Easy-Hard)?
Dear Sam, Thanks a lot for this wonderful package! The vignette is also quite helpful. I was wondering whether the package would also allow to run a FDA of the...
Hello, First of all, thank you very much for creating this package and the extensive getting started tutorial on it's website! I'm currently working on my master's thesis and inexperienced...
Dear Sam, I am working with some data where participants were assigned to receive Treatment A or Treatment B. I would like to run an FDA to see changes over...
  Wondering if you would be so kind to help with this issue. I have pupil data from 10 participants. All of their pupil responses are different sizes. When...
It would be beneficial to introduce a new parameter in the `interpolate_data` function that allows users to specify the maximum number of consecutive NAs to be interpolated. Currently, in long...
As mentioned in #32, I propose adding a parameter to control the number of interpolated values. I've introduced a new parameter, `maxgap`, which leverages functionality already available in the zoo...
Added a new parameter total_trials_expected to the clean_missing_data function, allowing users to specify the total number of trials expected for participants when calculating the proportion of missing trials. If this...
Updated the predict_right function to return a column of NA when both x and y are entirely NA, ensuring no errors are raised in such cases.
Metadata
Owner
Metadata
An R package for preparing and analysing pupillometry data