I love these types of analysis looking at yur large data set. This is another reason why in the past I asked @Nate_Pearson to add the ability for the app to record r-r timing from HR straps used for HRV metrics. Is DFA Alpha 1 or other HRV metrics useful? If you have that information to look at you could more easily check.
The app could allow pairing other sensors too like temp (Core sensor), Muscle Oxygen (Moxy, train red) so that you’d have the data to look at. Seems like having more data could help figure out how to best use that info by looking at trends in the data. This also goes for other data pople have that could be imported like garmin health API. For example body battery, I’m not saying body battery data is always good, but maybe for some people it trends with what you expect and so for those people that data could be used to plan better guess how much the person could handle.
As to the erg mode vs resistance mode difference I wonder if the data set is large enough to break up the resistance mode group based on how well they improve with training. Are there subsets that improve more than expected and some that improve less? If so how do they differ in the metrics you compared the erg vs resistance groups. i.e. is there a subgroup that is able to do the workouts correctly and those people also improve more than expected? So could maybe show that while resistance mode increases the chance of people not following the workouts correctly who can correctly execute do better than erg mode.
I’m guessing people with proprioceptive impairments (common for those on the autism spectrum) would always do better with erg mode but those with great proprioception could possibly do better without erg mode which could explain why some coaches (see emprical cycling podcast) seem to think resistance mode is better than erg, because it is for a subgroup. The way they coach high end individuals leads to selection bias towards those who can execute workouts correctly and are in that subgroup.
When Nate talked about adding r-r timing recording back in 2022:
also for those interested in what the metric is about:
HRV (alpha 1) to track power intensity zones - TrainerRoad Software - TrainerRoad