This data set is used in Jovanovic, M. (2020) and it is generated for the purpose of demonstrating one particular method of dose-response modeling. It represents strength training dose for N=10 athletes over 90 days. Training dose is represents with total upper- or lower- number of lifts (UBNL, LBNL), while the training response is represented with estimated 1RM variable (est1RM). Additional variables in this data set are workout (either Total, Lower, Upper or Off) and type indicating training stress (easy, medium, hard).

data(strength_training)

## Format

Data frame with 900 observations and 8 variables:

athlete

Factor with 10 levels, indicating athlete names

day

Integer vector, indicating training day, from 1 to 90

workout

Factor with 4 levels, indicating type of training session: Total, Lower, Upper and Off

type

Factor with 4 levels, indicating training stress: Easy, Medium, and Hard

UBNL

Integer vector, indicating upper body number of lifts in a session. This represent the training dose

LBNL

Integer vector, indicating lower body number of lifts in a session. This represent the training dose

est1RM

Numeric vector, indicating estimated 1RM, or the training response

est1RMchange

Numeric vector, indicating day-to-day change in est1RM

## Source

Jovanović M. 2020. Strength Training Manual: The Agile Periodization Approach.
Independently published. ISBN: 9798604459898