If you try to analyze all participants at once (group: "all") for a particular category (e.g. "animals"), it will stall if not all participants have that category. This error emerges if, for example, most participants list "animals" and "groceries", but some participants do only one category.
Not sure whether this applies to Python version too.
Possible solution: For subject-level, provide a meaningful error message ("Subject X did not complete category Y"). For group-level, run a check before analysis to limit subjects to those who complete a category.
If you try to analyze all participants at once (group: "all") for a particular category (e.g. "animals"), it will stall if not all participants have that category. This error emerges if, for example, most participants list "animals" and "groceries", but some participants do only one category.
Not sure whether this applies to Python version too.
Possible solution: For subject-level, provide a meaningful error message ("Subject X did not complete category Y"). For group-level, run a check before analysis to limit subjects to those who complete a category.