Tommaso Ghilardi

Limit Consecutive NA Interpolation

2

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...

update calculate_missing_data to pass number of expected trials

1

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.

The `clean_missing_data` function provides a simple and effective way to reject subjects and trials based on missing data. Currently, subjects are rejected based on the percentage of good trials in...

If `regress_data` is used on a dataset in which a trial is completely NA an error is given: > Error in `mutate()`: ℹ In argument: `pupil1newkk = .predict_right(L_P, R_P)`. ℹ...

I’m a bit puzzled about how to interpret check_outliers() and could use some guidance. I’m running some models and using `check_outliers()`, and I’m a bit unsure how to interpret the...