psr: psr
In psr: Functions for Analyzing Performance Science Data
Description
A package for computing various measures relating to reliability of performance science metrics. It
contains functions to compute the Typical Error (TE), Coefficient of Variation (CV), Standard Error of Measurement
(SEM), Smallest Worthwhile Change (SWC), Minimal Detectable Change (MDC), Intra-class Correlation Coefficient (ICC),
and Standard Ten Scores (STEN).
psr documentation built on Aug. 13, 2021, 5:08 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
A package for computing various measures relating to reliability of performance science metrics. It contains functions to compute the Typical Error (TE), Coefficient of Variation (CV), Standard Error of Measurement (SEM), Smallest Worthwhile Change (SWC), Minimal Detectable Change (MDC), Intra-class Correlation Coefficient (ICC), and Standard Ten Scores (STEN).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.