irrICC (version 1.0)

pvals.ICC3r.inter: P-value of the Intraclass Correlation Coefficient ICC(3,1) under Model 3 with subject-rater interaction.

Description

This function computes the p-value associated with the ICC under the mixed factorial ANOVA model with subject-rater interaction. The ICC considered here is the one used as a measure of inter-rater reliability and the p-value is calculated for each of the null values specified in the parameter rho.zero.

Usage

pvals.ICC3r.inter(dfra, rho.zero = 0)

Arguments

dfra

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 default 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 10, section 10.3.3 Advanced Analytics, LLC.

Examples

# NOT RUN {
#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.ICC3r.inter(iccdata1) #gives you the p-value associated with default null value of 0
pvals.ICC3r.inter(iccdata1,c(0,0.15,0.25,0.33)) #produces p-values for an arbitrary vector
# }