README.md
In psr: Functions for Analyzing Performance Science Data

psr

The goal of psr is to help practitioners in the field of sports science, whether it be coaches, athletic trainers, analysts, or even athletes themselves, to efficiently and effectively analyze data from strength and agility tests. This package includes seven functions that measure the reliability of the measurement instruments involved in testing the athletes, setting benchmarks for each athlete in their future tests, and standardizing the scores of the athletes on a team across metrics.

You can install the released version of psr from CRAN with:

install.packages("psr")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("tommy-mcginn/Performance-Science-Reliability")

The package includes seven functions, which can be grouped into the following categories:

Reliability Functions ** Typical Error: TE() ** Coefficient of Variation: CV() ** Standard Error of Measurement: SEM() ** Intra-class Correlation Coefficient (in long form): ICC_long()
Individual Change Functions ** Smallest Worthwhile Change: SWC() ** Minimal Detectable Change: MDC()
Standardization of Data Functions: ** Standard Ten Scores: STEN()

The package does not include any data, but there is one vignette for the package, which describes each of these functions in detail, shows how they can be used with example data, and explains possible errors that the user could make and how each function in the package delivers an informative, specialized error message to the user when any of these errors are made.