STEN: Standard Ten (STEN) Scores for a set of athlete measurements

In psr: Functions for Analyzing Performance Science Data

Description

Converts each score of each metric passed to the function into its corresponding STEN score. The STEN score converts metrics that have different units to the same scale, with a minimum value of 1 and a maximum value of 10 for all metrics. This allows one to easily compare an athlete's scores for different metrics that are measured in different units, which enables one to identify which metrics are areas of strength and which are areas of weakness for each athlete. The STEN method fulfills the same purpose as standardizing the scores (i.e. converting all of the scores to z-scores), but might be easier for practitioners and coaches to understand.

Usage

STEN(subject, trial, ...)

Arguments

subject	The vector of athletes who recorded the results for each metric (can be a numeric or factor variable)
trial	The vector that represents which trial each measurement came from
...	Numeric vectors that represent the metrics which scores should be computed to STEN scores. These vectors hold the scores that each athlete recorded for each respective metric (at least one metric must be passed to the function).

Value

A data frame, with the subjects as rows and the metrics as columns, and each entry representing the original measurement of the given metric having been converted to the unit-less STEN score.

References

Glen, S. (2015). Stephanie Glen. "STEN Score" From StatisticsHowTo.com: Elementary Statistics for the rest of us! https://www.statisticshowto.com/sten-score/

Examples

subject <- c(1, 1, 1, 2, 2, 2, 3, 3, 3)
trial <- c(1, 2, 3, 1, 2, 3, 1, 2, 3)
metric_1 <- c(250, 258, 252, 279, 270, 277, 218, 213, 218)
metric_2 <- c(10, 7, 10, 14, 18, 17, 11, 7, 8)
metric_3 <- c(1214, 1276, 1289, 1037, 1010, 1069, 1481, 1465, 1443)
STEN(subject, trial, metric_1, metric_2, metric_3)

psr documentation built on Aug. 13, 2021, 5:08 p.m.