vjsim is R package that simulates vertical jump with the aim of
teaching basic biomechanical principles, FV profiling, and exploring
assumptions of FV optimization models.
You can install the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("mladenjovanovic/vjsim")
require(vjsim)Please read accompanying vignettes for examples and usage of the vjsim
package
This vignette discusses the basic mechanical representation of the vertical jump system. Please read this to understand the overall setup. Access it by clicking the above link or running the following code:
vignette("introduction-vjsim")This vignette continues the Introduction vignette and expands on the topic of simulation and how vertical jump is simulated. Access it by clicking the above link or running the following code:
vignette("simulation-vjsim")Once you understand how the Simulation works, we can start playing with profiling. Force-Velocity (FV), Load-Velocity (LV), and other profiles are discussed. Access it by clicking the above link or running the following code:
vignette("profiling-vjsim")In this vignette I will introduce few optimization models, influenced by the work of Pierre Samozino and Jean-Benoit Morin. Access it by clicking the above link or running the following code:
vignette("optimization-vjsim")In this vignette we are going to explore various assumptions of the model, “optimal” FV profiles and some other interesting questions. Access it by clicking the above link or running the following code:
vignette("exploring-vjsim")In this vignette I am going to show you how you can use vjsim to
create athlete profiles from collected data
vignette("modeling-vjsim")To run the Shiny app, use the following code, or by clicking on the above link (this will take you to the shinyapps.io)
# install.packages(c("shiny", "plotly", "DT"))
run_simulator()