I want to compute the IRR for a dataset with two raters (ICC2, Two-way-random-effects model). I wanted to use the ICC function from the psych-package but wonder how I need to restructure my data to have one row per participant and one column for each rater.
The dataset looks similar to the sample data below:
data <- data.frame(
Subject = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2,
3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4),
Condition = c("v_1", "v_1.1", "v_1.2", "v_2", "v_2.1", "v_2.2", "v_3", "v_3.1", "v_3.2", "v_1", "v_1.1", "v_1.2", "v_2", "v_2.1", "v_2.2", "v_3", "v_3.1", "v_3.2", "v_1", "v_1.1", "v_1.2", "v_2", "v_2.1", "v_2.2", "v_3", "v_3.1", "v_3.2", "v_1", "v_1.1", "v_1.2", "v_2", "v_2.1", "v_2.2", "v_3", "v_3.1", "v_3.2"),
Rater1 = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 9, 8, 7, 6, 5, 4, 3, 2, 1, 1, 2, 3, 4, 5, 6, 7, 8, 9, 9, 8, 7, 6, 5, 4, 3, 2, 1),
Rater2 = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 9, 8, 7, 6, 5, 4, 3, 2, 1, 1, 2, 3, 4, 5, 6, 7, 8, 9, 9, 8, 7, 6, 5, 4, 3, 2, 1)
)
I have 4 participants, each variable (3, see column condition) was measured by three items (v_1:v_3.2) by Rater 1 and Rater 2.
I really appreciate your help, thank you very much!