pvals.ICC1a: P-value of the ICC under ANOVA Model 1A for arbitrary null...

In irrICC: Intraclass Correlations for Quantifying Inter-Rater Reliability

Description

This function computes the p-value associated with the Intraclass Correlation Coefficient (ICC) under the one-factor ANOVA model where each subject may be rated by a different group of raters.

Usage

pvals.ICC1a(ratings, rho.zero = 0)

Arguments

ratings	This is a data frame containing 3 columns or more. The first column contains subject numbers (there could be duplicates if a subject was assigned multiple ratings) and each of the remaining columns is associated with a particular rater and contains its numeric ratings.
rho.zero	This is an optional parameter that represents a vector containing an arbitrary number of null values between 0 and 1 for which a p-value will be calculated. If not specified then its defauklt value will be 0.

Value

This function returns a vector containing p-values associated with the null values specified in the parameter rho.zero.

References

Gwet, K.L. (2014): Handbook of Inter-Rater Reliability - 4th ed. chapter 8, section 8.3.2, equation 8.3.4. Advanced Analytics, LLC.

Examples

#iccdata1 is a small dataset that comes with the package. Use it as follows:
library(irrICC)
iccdata1 #see what the iccdata1 dataset looks like
pvals.ICC1a(iccdata1,c(0,0.17,0.22,0.35))

irrICC documentation built on Sept. 23, 2019, 5:05 p.m.