ICCbareF: Simple function to estimate the Intraclass Correlation...

In ICC: Functions facilitating the estimation of the Intraclass Correlation Coefficient

Description

This function only estimates the Intraclass Correlation Coefficient (ICC). It is meant to be as simple and fast as possible for use in Monte Carlo simulations or bootstrapping. Calculates the variance components 'by hand', instead of using the aov() function.

Usage

ICCbareF(x, y, data)

Arguments

x	column name indicating individual or group id in the dataframe data
y	column name indicating measurements in the dataframe data. Each entry in x must have at least one non-NA value in y
data	a dataframe containing x and y

Details

ICCbareF is distinguished from ICCbare, in that ICCbare is more flexible and can handle missing values and unbalanced datasets. ICCbareF cannot and should only be used on balanced datasets without any NAs.

Value

ICC	the intraclass correlation coefficient

Author(s)

Matthew Wolak [e-mail]

See Also

ICCest, ICCbare

ICC documentation built on May 2, 2019, 5:27 p.m.