Confidence Interval of the ICC(3,1) under Model 3 without subject-rater interaction
Confidence Interval of the ICC(3,1) under Model 3 without subject-rater interaction
This function computes the confidence interval associateed with the Intraclass Correlation Coefficient (ICC) used as a measure of inter-rater reliability, under the mixed factorial ANOVA model (Model 3) with no subject-rater interaction. This function computes the lower and upper confidence bounds.
ci.ICC3r.nointer(dfra, conflev =0.95)
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.
conflev: This is the optional confidence level associated with the confidence interval. If not specified, the default value will be 0.95, which is the most commonly-used valuee in the literature.
Returns
This function returns a vector containing the lower confidence (lcb) and the upper confidence bound (ucb).
Examples
#iccdata1 is a small dataset that comes with the package. Use it as follows:library(irrICC)iccdata1 #see what the iccdata1 dataset looks likeci.ICC3r.nointer(iccdata1)