ICC_long: Intra-class Correlation Coefficient (ICC) for a set of...

In psr: Functions for Analyzing Performance Science Data

Description

Computes the ICC for each vector of measurements that is passed to the function, for the subject and trial vectors

Usage

ICC_long(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 for which the ICC output should be given. 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 list, with its contents being the ICC output (containing the six types of ICC's, as generated by psych::ICC()), is returned

References

Shrout, P. E., & Fleiss, J. L. (1979). Intraclass correlations: Uses in assessing rater reliability. Psychological Bulletin, 86(2), 420-428.

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)
ICC_long(subject, trial, metric_1, metric_2, metric_3)

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