shorts 1.1.4 Unreleased

  • Added ggplot2 and tidyr package dependency and implemented it in S3 plotting functions
  • get_FV_profile now return a object class shorts_fv_profile
  • Added S3 print and plot methods for shorts_fv_profile object
  • Renamed column force and relative_force to horizontal_force and relative_horizontal_force in the shorts_fv_profile object and data frame returned by the predict_kinematics
  • Added acceleration, bodymass, net_horizontal_force, air_resistance, and vertical_force, resultant_force_relative, power, and force_angle in the shorts_fv_profile object and data frame returned by the predict_kinematics
  • Improved examples and README.Rmd
  • Added S3 plot method for shorts_model and shorts_mixed_model objects

shorts 1.1.3 2020-10-29

  • Added sample radar gun data from Jean-Benoît Morin Microsoft Excel spreadsheet, freely available at his website (accessed October 27, 2020)). For more information ?jb_morin

  • Added get_FV_profile for generating Force-Velocity profile summary using Pierre Samozino and Jean-Benoît Morin method (for more DOI:10.1111/sms.12490)

shorts 1.1.2 2020-10-13

  • Added get_air_resistance function to estimate air resistance in newtons
  • Added predict_air_resistance_at_time and predict_air_resistance_at_time functions
  • Added predict_force_at_time and predict_force_at_distance functions
  • Added predict_power_at_time and predict_power_at_distance functions
  • Now power calculations in predict_relative_power_at_distance and predict_relative_power_at_time use air resistance to do the calculations. The default bodymass is 75kg. To replicate earlier function behavior, use predict_velocity_at_ multiplied by predict_acceleration_at_ to get relative power without air resistance
  • Function predict_kinematics now uses aforementioned changes in predict_relative_power_ functions, and added force and air resistance in the output
  • Functions find_max_power_distance and find_power_critical_distance now uses aforementioned changes and returns absolute power, rather than relative, and air resistance is used in the power calculations
  • Added find_max_power_time, find_velocity_critical_time, find_acceleration_critical_time, and find_power_critical_time functions
  • Added model_using_radar_with_time_correction where time_correction parameter is estimated
  • Added mixed_model_using_radar_with_time_correction where time_correction parameter is estimated

shorts 1.1.1 2020-09-11

shorts 1.1.0 2020-07-28

  • Used constructor functions for all modeling functions
  • Added modular short_model_fit function with three extra estimators: MAE, MAPE, and MaxAbsErr. This function is hidden from the user, but allows easier extension and modularity as well avoidance of code repetition
  • Added time_correction and distance_correction to all model parameters output to align them
  • Added S3 predict_kinematics function that predicts 0-6s distance (100Hz), velocity, acceleration, and relative power
  • Added S3 print, coef, summary, predict, and residuals methods
  • Added LOOCV option to modeling functions which provided cross-validated predictions and estimated model parameters
  • Added random parameter to mixed_ family of functions to allow higher flexibility in model definitions, but removed corrections_as_random_effects parameter. The default behavious is to use all parameters as random effects.
  • Added ... to model_using_radar and mixed_model_using_radar to be forwarded to nlme::nlme
  • Expanded the Readme.md file
  • Expanded the sprint-corrections vignette by adding a short simulation study

shorts 1.0.1 2020-05-08

  • Corrected the error in vignette that showed on Solaris system. Increased the random noise to allow nls to fit

shorts 1.0.0 2020-05-05

  • Renamed time_delay to time_correction in shorts::model_using_instant_velocity and shorts::mixed_model_using_instant_velocity functions to be more consistent across functions. Also, this correction is added to time, so use negative numbers instead
  • time_correction in shorts::mixed_model_using_instant_velocity and shorts::mixed_model_using_split_times is now numeric vector, not column name
  • Implemented time_correction in shorts::model_using_split_times and shorts::mixed_model_using_split_times
  • Implemented time_correction in shorts:predict_ family of functions
  • Implemented distance_correction in shorts:predict_ family of functions
  • Implemented estimation of time_correction in shorts::model_using_split_times_with_time_correction and shorts::mixed_model_using_split_times_with_time_correction
  • Implemented estimation of distance_correction in shorts::model_using_split_times_with_corrections and shorts::mixed_model_using_split_times_with_corrections
  • Fixed error in calculating PMAX in shorts::mixed_model_ functions
  • Removed maxAbsErr from model_fit element
  • Wrote “sprint-corrections” vignette explaining the idea behind sprint time and distance corrections
  • Implemented find_ family of functions for finding max power and critical distance when velocity or acceleration reaches certain threshold
  • Implemented ... to all modeling functions so that extra parameters can be forwarded to the optimization engine
  • Data split_times recreated using distance shift behind the first timing gate. Needed to demo mixed models with corrections
  • Renamed _model_using_instant_velocity to _model_using_radar
  • Renamed _model_using_split_times_ to _model_using_splits_

shorts 0.0.1 2020-04-23

  • Initial version with all core functionalities
  • This package was submitted to CRAN on 2020-04-17. (commit b59402c9c5)