Create custom set and rep schemes with {STMr} – Module 7: Estimation and Individualization Part 6
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Create Custom Set and Rep Schemes With {STMr}
Estimation and Individualization – Part 6: {STMr}
In this video, I will show you how to use {STMr} estimate functions (start with estimate_
). There are two major families of the estimate_
functions:
- relative, using %1RM
- absolute, using weight (in which the 1RM is also estimated). These will have
_1RM
at the end.
In addition to this, we have:
- “simple” estimation
- mixed level
- quantile
This is, of course, implemented for Epley, Modified Epley, and Linear/Brzycki models.
In addition to this, there is estimate_rolling_1RM()
that can take “simple” and quantile functions as a parameter to produce rolling estimates.
I will utilize two datasets to demonstrate these features: RTF_testing
and strength_training_log
.