Create custom set and rep schemes with {STMr} – Module 7: Estimation and Individualization Part 6

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.

Create Custom Set and Rep Schemes With STMr

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Course Overview

Module 1: Introduction

Module 2: Reps-Max Relationship

Module 3: Adjustments

Module 4: Progression Tables

Module 5: Vertical Planning

Module 6: Set and Rep Schemes

Module 7: Estimation and Individualization

I am a physical preparation coach from Belgrade, Serbia, grew up in Pula, Croatia (which I consider my home town). I was involved in physical preparation of professional, amateur and recreational athletes of various ages in sports such as basketball, soccer, volleyball, martial arts and tennis. Read More »