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.

## Installation

You can install the development version from GitHub with:

# install.packages("devtools")

require(vjsim)

## Usage

Please read accompanying vignettes for examples and usage of the vjsim package

### Introduction

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")

### Simulation

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")

### Profiling

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")

### Optimization

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")

### Exploring

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")

### Modeling

In this vignette I am going to show you how you can use vjsim to create athlete profiles from collected data

vignette("modeling-vjsim")

## Shiny App

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()