Package: STMr 0.1.7

STMr: Strength Training Manual R-Language Functions

Strength training prescription using percent-based approach requires numerous computations and assumptions. 'STMr' package allow users to estimate individual reps-max relationships, implement various progression tables, and create numerous set and rep schemes. The 'STMr' package is originally created as a tool to help writing Jovanović M. (2020) Strength Training Manual <ISBN:979-8604459898>.

Authors:Mladen Jovanović [aut, cre]

STMr_0.1.7.tar.gz
STMr_0.1.7.zip(r-4.7)STMr_0.1.7.zip(r-4.6)STMr_0.1.7.zip(r-4.5)
STMr_0.1.7.tgz(r-4.6-any)STMr_0.1.7.tgz(r-4.5-any)
STMr_0.1.7.tar.gz(r-4.7-any)STMr_0.1.7.tar.gz(r-4.6-any)
STMr_0.1.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
STMr/json (API)
NEWS

# Install 'STMr' in R:
install.packages('STMr', repos = c('https://mladenjovanovic.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mladenjovanovic/stmr/issues

Pkgdown/docs site:https://mladenjovanovic.github.io

Datasets:

On CRAN:

Conda:

3.95 score 6 stars 7 scripts 226 downloads 83 exports 50 dependencies

Last updated from:5fbdef5dae. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK222
source / vignettesOK208
linux-release-x86_64OK154
macos-release-arm64OK168
macos-oldrel-arm64OK167
windows-develOK117
windows-releaseOK101
windows-oldrelOK107
wasm-releaseOK110

Exports:.vertical_rep_accumulation.post%>%adj_perc_1RM_DIadj_perc_1RM_perc_MRadj_perc_1RM_rel_intadj_perc_1RM_RIRadj_reps_DIadj_reps_perc_MRadj_reps_rel_intadj_reps_RIRcreate_exampleestimate_kestimate_k_1RMestimate_k_1RM_mixedestimate_k_1RM_quantileestimate_k_genericestimate_k_generic_1RMestimate_k_generic_1RM_mixedestimate_k_generic_1RM_quantileestimate_k_mixedestimate_k_quantileestimate_klinestimate_klin_1RMestimate_klin_1RM_mixedestimate_klin_1RM_quantileestimate_klin_mixedestimate_klin_quantileestimate_kmodestimate_kmod_1RMestimate_kmod_1RM_mixedestimate_kmod_1RM_quantileestimate_kmod_mixedestimate_kmod_quantileestimate_rolling_1RMgenerate_progression_tableget_perc_1RMget_predicted_1RM_from_k_modelget_repsmax_perc_1RM_epleymax_perc_1RM_linearmax_perc_1RM_modified_epleymax_reps_epleymax_reps_linearmax_reps_modified_epleyplot_progression_tableplot_schemeplot_verticalprogression_DIprogression_perc_dropprogression_perc_MRprogression_perc_MR_variableprogression_rel_intprogression_RIRprogression_RIR_incrementprogression_variable_DIprogression_variable_RIRreleasescheme_genericscheme_ladderscheme_light_heavyscheme_manualscheme_perc_1RMscheme_plateauscheme_pyramidscheme_pyramid_reversescheme_rep_accscheme_stepscheme_step_reversescheme_wavescheme_wave_descendingvertical_blockvertical_block_undulatingvertical_block_variantvertical_constantvertical_linearvertical_linear_reversevertical_planningvertical_rep_accumulationvertical_set_accumulationvertical_set_accumulation_reversevertical_undulatingvertical_undulating_reversevertical_volume_intensity

Dependencies:clicommonmarkcpp11curldplyrfarvergenericsggfittextggplot2gluegridtextgtableisobandjpeglabelinglatticelifecyclelitedownmagrittrmarkdownMASSMatrixMatrixModelsminpack.lmnlmepillarpkgconfigpngpurrrquantregR6RColorBrewerRcpprlangS7scalesshadesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrxfunxml2

Readme and manuals

Help Manual

Help pageTopics
Method for adding set and rep schemes+.STMr_scheme
Family of functions to adjust %1RMadj_perc_1RM adj_perc_1RM_DI adj_perc_1RM_perc_MR adj_perc_1RM_rel_int adj_perc_1RM_RIR
Family of functions to adjust number of repetitionadj_reps adj_reps_DI adj_reps_perc_MR adj_reps_rel_int adj_reps_RIR
Create Examplecreate_example
Estimate relationship between reps and %1RM (or weight)estimate_functions estimate_k estimate_klin estimate_klin_1RM estimate_kmod estimate_kmod_1RM estimate_k_1RM estimate_k_generic estimate_k_generic_1RM get_predicted_1RM_from_k_model
Estimate relationship between reps and weight using the non-linear mixed-effects regressionestimate_functions_mixed estimate_klin_1RM_mixed estimate_klin_mixed estimate_kmod_1RM_mixed estimate_kmod_mixed estimate_k_1RM_mixed estimate_k_generic_1RM_mixed estimate_k_mixed
Estimate relationship between reps and weight using the non-linear quantile regressionestimate_functions_quantile estimate_klin_1RM_quantile estimate_klin_quantile estimate_kmod_1RM_quantile estimate_kmod_quantile estimate_k_1RM_quantile estimate_k_generic_1RM_quantile estimate_k_quantile
Estimate the rolling profile and 1RMestimate_rolling_1RM
Family of functions to create progression tablesgenerate_progression_table progression_DI progression_perc_drop progression_perc_MR progression_perc_MR_variable progression_rel_int progression_RIR progression_RIR_increment progression_table progression_variable_DI progression_variable_RIR
Get %1RMget_perc_1RM
Get Repsget_reps
Family of functions to estimate max %1RMmax_perc_1RM max_perc_1RM_epley max_perc_1RM_linear max_perc_1RM_modified_epley
Family of functions to estimate max number of repetition (nRM)max_reps max_reps_epley max_reps_linear max_reps_modified_epley
Plotting of the Progression Tableplot_progression_table
Plotting of the Set and Reps Schemeplot_scheme
Plotting of the Vertical Planningplot_vertical
Plotting of the Releaseplot.STMr_release
Plotting of the Set and Reps Schemeplot.STMr_scheme
Create a Release periodrelease
Reps to failure testing of 12 athletesRTF_testing
Set and Rep Schemesscheme_generic scheme_ladder scheme_light_heavy scheme_manual scheme_perc_1RM scheme_plateau scheme_pyramid scheme_pyramid_reverse scheme_rep_acc scheme_step scheme_step_reverse scheme_wave scheme_wave_descending set_and_reps_schemes
Format to significant digits and pad to equal string widthsig_pad
Strength Training Logstrength_training_log
Vertical Planning Functions.vertical_rep_accumulation.post vertical_block vertical_block_undulating vertical_block_variant vertical_constant vertical_linear vertical_linear_reverse vertical_planning vertical_planning_functions vertical_rep_accumulation vertical_set_accumulation vertical_set_accumulation_reverse vertical_undulating vertical_undulating_reverse vertical_volume_intensity