Fvp

fvp: An R package for Athlete Force-Velocity-Power Profiling

The fvp package was written to extend the functionality of its predecessory, midsprint. Users can use this package to model and athlete's sprint- and jump-based force-velocity profile. These models include:

• Sprint abilities modelled over time and distance
• In-game speed-acceleration model
• Sprint test models using distance and time splits
• Jump-based force-velocity model

Once a player's abilities are modelled, the user can opt to return a data set that encompasses their modelled force-velocity-power profile.

Since this package is built to provide practitioners modelled observations, the package does not support plotting functions like those in midsprint. As such, midsprint will be updated to include these reporting functions with fvp providing the back-end analyses.

Installing the Package

To install the package, copy-and-paste the following code into your R console. The package is very small and should download quickly.

devtools::install_github("aaronzpearson/fvp")
library(fvp)

The plotting examples rely on two other packages to return aesthetically pleasing plots. If you don't have these packages installed on your computer, you can download them copy-and-pasting the following into your R console. You do not need to install these packages for the package to work.

install.packages("ggplot2")
install.packages("patchwork")

library(ggplot2)
library(patchwork)

Package Functionality

Note The models have been validated using values in metric (m/s, m/s/s, etc.). To convert your current values to metric, use the convert.to.metric() function. This function can be applied to multiple variables effectively using a function like apply() from base R or mutate() from the dplyr package.

Function Families

To provide practitioners the ability to produce multiple analyses, functions are grouped by family. As such, each family of functions begins with the same prefix. Expanding on the models outlined above, the prefixes are:

• gps: Sprint abilities modelled over time and distance
• sa: In-game speed-acceleration model
• scout: Sprint test models using distance and time splits
• fv: Jump-based force-velocity model
• fvp: Modelled force-velocity-power profile from sprint models

Function Naming Conventions

For consistency, the function names (after the prefix) follow the following naming convention:

• .data: Cleaned and formatted speed and acceleration observations
• .data.player: A player's anthropomorphic data and weather conditions
• .data.testing: Supplemental testing information like load and athlete testing results
• .player.profile: Models a player's abilities and returns a summarized data frame
• .player.profile.game : Unique to the gps family, returns a player's observed sprint abilities
• .player.splits: Speed, acceleration, and time at distinct distances
• .results.model: Data set containing modelled observations
• .results.observed: Data set containing observations that are used to model a player's abilities
• .results.game: Unique to the gps family, returns a player's modelled in-game abilities
• .results.fitted: Unique to the sa family, returns the data that were maintained to fit the linear model

See fvp-vignette.pdf for sample code and model outputs