Package: shorts 3.3.0

shorts: Short Sprints

Create short sprint acceleration-velocity (AVP) and force-velocity (FVP) profiles and predict kinematic and kinetic variables using the timing-gate split times, laser or radar gun data, tether devices data, as well as the data provided by the GPS and LPS monitoring systems. The modeling method utilized in this package is based on the works of Furusawa K, Hill AV, Parkinson JL (1927) <doi:10.1098/rspb.1927.0035>, Greene PR. (1986) <doi:10.1016/0025-5564(86)90063-5>, Chelly SM, Denis C. (2001) <doi:10.1097/00005768-200102000-00024>, Clark KP, Rieger RH, Bruno RF, Stearne DJ. (2017) <doi:10.1519/JSC.0000000000002081>, Samozino P. (2018) <doi:10.1007/978-3-319-05633-3_11>, Samozino P. and Peyrot N., et al (2022) <doi:10.1111/sms.14097>, Clavel, P., et al (2023) <doi:10.1016/j.jbiomech.2023.111602>, Jovanovic M. (2023) <doi:10.1080/10255842.2023.2170713>, Jovanovic M., et al (2024) <doi:10.3390/s24092894>, and Jovanovic M., et al (2024) <doi:10.3390/s24196192>.

Authors:Mladen Jovanović [aut, cre, cph]

shorts_3.3.0.tar.gz
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shorts.pdf |shorts.html
shorts/json (API)
NEWS

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

Peer review:

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

Datasets:

On CRAN:

5.02 score 14 stars 4 scripts 564 downloads 56 exports 43 dependencies

Last updated 10 days agofrom:5f8ce5554b. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-winOKOct 27 2024
R-4.5-linuxOKOct 27 2024
R-4.4-winOKOct 27 2024
R-4.4-macOKOct 27 2024
R-4.3-winOKOct 27 2024
R-4.3-macOKOct 27 2024

Exports:convert_FVPcreate_FVPcreate_sprint_tracecreate_timing_gates_splitsfind_acceleration_critical_distancefind_acceleration_critical_timefind_optimal_distancefind_peak_power_distancefind_peak_power_timefind_power_critical_distancefind_power_critical_timefind_velocity_critical_distancefind_velocity_critical_timeformat_splitsget_air_resistancemodel_in_situmodel_laser_gunmodel_radar_gunmodel_tethermodel_tether_DCmodel_time_distancemodel_time_distance_DCmodel_time_distance_FDmodel_time_distance_FD_fixedmodel_time_distance_TCmodel_time_distance_TC_DCmodel_timing_gatesmodel_timing_gates_DCmodel_timing_gates_FDmodel_timing_gates_FD_fixedmodel_timing_gates_TCmodel_timing_gates_TC_DCoptimal_FVoptimal_MSS_MACpredict_acceleration_at_distancepredict_acceleration_at_timepredict_acceleration_at_velocitypredict_air_resistance_at_distancepredict_air_resistance_at_timepredict_distance_at_timepredict_force_at_distancepredict_force_at_timepredict_force_at_velocitypredict_kinematicspredict_power_at_distancepredict_power_at_timepredict_relative_power_at_distancepredict_relative_power_at_timepredict_time_at_distancepredict_time_at_distance_FVpredict_velocity_at_distancepredict_velocity_at_timepredict_work_till_distancepredict_work_till_timeprobe_FVprobe_MSS_MAC

Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableisobandlabelingLambertWlamWlatticelifecyclemagrittrMASSMatrixmgcvminpack.lmmunsellnlmepillarpkgconfigplyrpurrrR6RColorBrewerRcppRcppParallelreshape2rlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
S3 method for extracting model parameters from 'shorts_model' objectcoef.shorts_model
S3 method for providing confidence intervals for the 'shorts_model'confint.shorts_model
Convert Force-Velocity profile back to Acceleration-Velocity profileconvert_FVP
Create Force-Velocity Profilecreate_FVP
Create Sprint Tracecreate_sprint_trace
Create Timing Gates Splitscreate_timing_gates_splits
DynaSpeed Single Sprint Datadynaspeed
Find functionsfind_acceleration_critical_distance find_acceleration_critical_time find_functions find_peak_power_distance find_peak_power_time find_power_critical_distance find_power_critical_time find_velocity_critical_distance find_velocity_critical_time
Function that finds the distance at which the sprint, probe, or FV profile is optimal (i.e., equal to 100 perc)find_optimal_distance
S3 method for returning predictions of 'shorts_model'fitted.shorts_model
Format Split Dataformat_splits
Get Air Resistanceget_air_resistance
JB Morin Sample Datasetjb_morin
Laser Gun Datalaser_gun_data
LPS Basketball Session DatasetLPS_session
Model functionsmodel_functions model_in_situ model_laser_gun model_radar_gun model_tether model_tether_DC model_time_distance model_time_distance_DC model_time_distance_FD model_time_distance_FD_fixed model_time_distance_TC model_time_distance_TC_DC model_timing_gates model_timing_gates_DC model_timing_gates_FD model_timing_gates_FD_fixed model_timing_gates_TC model_timing_gates_TC_DC
Optimal profile functionsoptimal_functions optimal_FV optimal_MSS_MAC
S3 method for plotting 'shorts_model' objectplot.shorts_model
Kinematics prediction functionspredict_acceleration_at_distance predict_acceleration_at_time predict_acceleration_at_velocity predict_air_resistance_at_distance predict_air_resistance_at_time predict_distance_at_time predict_force_at_distance predict_force_at_time predict_force_at_velocity predict_kinematics predict_power_at_distance predict_power_at_time predict_relative_power_at_distance predict_relative_power_at_time predict_time_at_distance predict_time_at_distance_FV predict_velocity_at_distance predict_velocity_at_time predict_work_till_distance predict_work_till_time
S3 method for making predictions using 'shorts_model'predict.shorts_model
S3 method for printing 'shorts_model' objectprint.shorts_model
Probe profile functionsprobe_functions probe_FV probe_MSS_MAC
Radar Gun Dataradar_gun_data
S3 method for returning residuals of 'shorts_model'residuals.shorts_model
Split Testing Datasplit_times
S3 method for providing summary for the 'shorts_model' objectsummary.shorts_model
Vescovi Timing Gates Sprint Timesvescovi