Family of functions to adjust %1RM
adj_perc_1RM_RIR(
reps,
adjustment = 0,
mfactor = 1,
max_perc_1RM_func = max_perc_1RM_epley,
...
)
adj_perc_1RM_DI(
reps,
adjustment = 0,
mfactor = 1,
max_perc_1RM_func = max_perc_1RM_epley,
...
)
adj_perc_1RM_rel_int(
reps,
adjustment = 1,
mfactor = 1,
max_perc_1RM_func = max_perc_1RM_epley,
...
)
adj_perc_1RM_perc_MR(
reps,
adjustment = 1,
mfactor = 1,
max_perc_1RM_func = max_perc_1RM_epley,
...
)
Numeric vector. Number of repetition to be performed
Numeric vector. Adjustment to be implemented
Numeric vector. Default is 1 (i.e., no adjustment).
Use mfactor = 2
to generate ballistic adjustment and tables
Max %1RM function to be used. Default is max_perc_1RM_epley
Forwarded to max_perc_1RM_func
. Usually the parameter value.
For example klin = 36
when using max_perc_1RM_linear
as
max_perc_1RM_func
function
Numeric vector. Predicted perc 1RM
adj_perc_1RM_RIR
: Adjust max %1RM using the Reps In Reserve (RIR) approach
adj_perc_1RM_DI
: Adjust max %1RM using the Deducted Intensity (DI) approach.
This approach simple deducts adjustment
from estimated %1RM
adj_perc_1RM_rel_int
: Adjust max perc 1RM using the Relative Intensity (RelInt) approach.
This approach simple multiplies estimated perc 1RM with adjustment
adj_perc_1RM_perc_MR
: Adjust max perc 1RM using the %Max Reps (%MR) approach.
This approach simple divides target reps with adjustment
# ------------------------------------------
# Adjustment using Reps In Reserve (RIR)
adj_perc_1RM_RIR(5)
#> [1] 0.8572653
# Use ballistic adjustment (this implies doing half the reps)
adj_perc_1RM_RIR(5, mfactor = 2)
#> [1] 0.7501875
# Use 2 reps in reserve
adj_perc_1RM_RIR(5, adjustment = 2)
#> [1] 0.8109642
# Use Linear model
adj_perc_1RM_RIR(5, max_perc_1RM_func = max_perc_1RM_linear, adjustment = 2)
#> [1] 0.8181818
# Use Modifed Epley's equation with a custom parameter values
adj_perc_1RM_RIR(
5,
max_perc_1RM_func = max_perc_1RM_modified_epley,
adjustment = 2,
kmod = 0.06
)
#> [1] 0.7352941
# ------------------------------------------
# Adjustment using Deducted Intensity (DI)
adj_perc_1RM_DI(5)
#> [1] 0.8572653
# Use ballistic adjustment (this implies doing half the reps)
adj_perc_1RM_DI(5, mfactor = 2)
#> [1] 0.7501875
# Use 10 perc deducted intensity
adj_perc_1RM_DI(5, adjustment = -0.1)
#> [1] 0.7572653
# Use Linear model
adj_perc_1RM_DI(5, max_perc_1RM_func = max_perc_1RM_linear, adjustment = -0.1)
#> [1] 0.7787879
# Use Modifed Epley's equation with a custom parameter values
adj_perc_1RM_DI(
5,
max_perc_1RM_func = max_perc_1RM_modified_epley,
adjustment = -0.1,
kmod = 0.06
)
#> [1] 0.7064516
# ------------------------------------------
# Adjustment using Relative Intensity (RelInt)
adj_perc_1RM_rel_int(5)
#> [1] 0.8572653
# Use ballistic adjustment (this implies doing half the reps)
adj_perc_1RM_rel_int(5, mfactor = 2)
#> [1] 0.7501875
# Use 90 perc relative intensity
adj_perc_1RM_rel_int(5, adjustment = 0.9)
#> [1] 0.7715388
# Use Linear model
adj_perc_1RM_rel_int(5, max_perc_1RM_func = max_perc_1RM_linear, adjustment = 0.9)
#> [1] 0.7909091
# Use Modifed Epley's equation with a custom parameter values
adj_perc_1RM_rel_int(
5,
max_perc_1RM_func = max_perc_1RM_modified_epley,
adjustment = 0.9,
kmod = 0.06
)
#> [1] 0.7258065
# ------------------------------------------
# Adjustment using % max reps (%MR)
adj_perc_1RM_perc_MR(5)
#> [1] 0.8572653
# Use ballistic adjustment (this implies doing half the reps)
adj_perc_1RM_perc_MR(5, mfactor = 2)
#> [1] 0.7501875
# Use 70 perc max reps
adj_perc_1RM_perc_MR(5, adjustment = 0.7)
#> [1] 0.8078477
# Use Linear model
adj_perc_1RM_perc_MR(5, max_perc_1RM_func = max_perc_1RM_linear, adjustment = 0.7)
#> [1] 0.8138528
# Use Modifed Epley's equation with a custom parameter values
adj_perc_1RM_perc_MR(
5,
max_perc_1RM_func = max_perc_1RM_modified_epley,
adjustment = 0.7,
kmod = 0.06
)
#> [1] 0.7306889