Description Usage Arguments Value References Examples
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.
1 | ci.ICC2r.nointer(dfra, conflev = 0.95)
|
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. |
This function returns a vector containing the lower confidence (lcb) and the upper confidence bound (ucb).
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.
1 2 3 4 | #iccdata1 is a small dataset that comes with the package. Use it as follows:
library(irrICC)
iccdata1 #see what the iccdata1 dataset looks like
ci.ICC2r.nointer(iccdata1)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.