dep_ci: Confidence Interval for the difference between two dependent...

In rmulshine/compicc: Calculate the Confidence Interval for the Difference of ICCs

Confidence Interval for the difference between two dependent ICCs

Description

Confidence Interval for the difference between two dependent ICCs

Usage

dep_ci(data1, data2, conf_level = 0.95)

Arguments

data1	A dataframe in wide format
data2	A dataframe in wide format
conf_level	The confidence level of the confidence interval; defaults to 0.95.

Details

Used when the same subjects are tested in each dataframe. The wide format for the dataframe means that the subjects constitute the rows, and the multiple trials per subject constitute the columns of the dataframe.

Value

A list with 3 elements:

ICC of data1 ($icc_1)

ICC of data2 ($icc_2)

Confidence interval for the difference between the ICC of data1 and the ICC of data2 ($confidenceIntervalDifference)

The confidence interval is a 1x2 dataframe with calls $lowerBound and $upperBound for the bounds of the interval

Examples

subject1_test1 <- c(46, 42, 43)
subject2_test1 <- c(34, 35, 34)
subject3_test1 <- c(51, 48, 54)
rater1Data <- data.frame(subject1_test1, subject2_test1, subject3_test1)

subject1_test2 <- c(45, 44, 44)
subject2_test2 <- c(36, 35, 37)
subject3_test2 <- c(49, 49, 51)
rater2Data <- data.frame(subject1_test2, subject2_test2, subject3_test2)

dep_ci(rater1Data, rater2Data)
dep_ci(rater1Data, rater2Data, conf_level = 0.99)

rmulshine/compicc documentation built on April 30, 2022, 7:46 a.m.