ci.ICC2r.nointer: Confidence Interval of the ICC(2,1) under Model 2 without subject-rater interaction
Description
This function computes the confidence interval associateed with the Intraclass Correlation Coefficient (ICC) used as a measure
of inter-rater reliability, under the random factorial ANOVA model (Model 2) with no subject-rater interaction. This function computes
the lower and upper confidence bounds.
Usage
ci.ICC2r.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.
Value
This function returns a vector containing the lower confidence (lcb) and the upper confidence bound (ucb).
References
Gwet, K.L. (2014): Handbook of Inter-Rater Reliability - 4th ed. chapter 9, section 9.5.1, equations
9.5.7 and 9.5.8 for inter-rater reliability coefficients.
Advanced Analytics, LLC.
# 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 likeci.ICC2r.nointer(iccdata1)
# }