Skip to contents

Family of functions to estimate max number of repetition (nRM)

Usage

max_reps_epley(perc_1RM, k = 0.0333)

max_reps_modified_epley(perc_1RM, kmod = 0.0353)

max_reps_linear(perc_1RM, klin = 33)

Arguments

perc_1RM

Numeric vector. % 1RM used (use 0.5 for 50 %, 0.9 for 90 %)

k

User defined k parameter in the Epley's equation. Default is 0.0333

kmod

User defined kmod parameter in the Modified Epley's equation. Default is 0.0353

klin

User defined klin parameter in the Linear equation. Default is 33

Value

Numeric vector. Predicted maximal number of repetitions (nRM)

Functions

  • max_reps_epley(): Estimate max number of repetition (nRM) using the Epley's equation

  • max_reps_modified_epley(): Estimate max number of repetition (nRM) using the Modified Epley's equation

  • max_reps_linear(): Estimate max number of repetition (nRM) using the Linear/Brzycki's equation

Examples

# ------------------------------------------
# Epley equation
max_reps_epley(0.85)
#> [1] 5.299417
max_reps_epley(c(0.75, 0.85), k = 0.04)
#> [1] 8.333333 4.411765
# ------------------------------------------
# Modified Epley equation
max_reps_modified_epley(0.85)
#> [1] 5.999167
max_reps_modified_epley(c(0.75, 0.85), kmod = 0.05)
#> [1] 7.666667 4.529412
# ------------------------------------------
# Linear/Brzycki's equation
max_reps_linear(0.85)
#> [1] 5.95
max_reps_linear(c(0.75, 0.85), klin = 36)
#> [1] 10.0  6.4