IIR: Intra-Intra Ratio (IIR)

In Agreement: Statistical Tools for Measuring Agreement

Description

Intra-Intra Ratio (IIR) compares the intra-rater precision among selected raters.

Usage

IIR(data, k, m, testindex, refindex, error, alpha = 0.05)

Arguments

data	Name of your dataset.
k	Number of methods/raters/instruments/assay, etc.
m	Number of replications for each methods/raters/instruments/assay, etc.
testindex	The index for the test raters, it must be a numerical vector. For example, if k=3 and testindex=c(1,2), the first and second rater are selected as the test raters for calculating IIR.
refindex	The index for the reference raters, it must be a numerical vector. For example, if k=3 and refindex=3, the third rater is selected as the reference raters for calculating TIR.
error	error="const" for the constant error structure for continuous data. error="prop" for the proportional error structure for continuous data. Here, log transformation to data will be applied for the continuous data. For categorical data, use error="const".
alpha	100(1-alpha)

Value

Return a list of values

IIR	The estimator of IIR.
IIR_upper	The upper 1-alpha/2 confidence limit for IIR.
IIR_lower	The lower 1-alpha/2 confidence limit for IIR.

Note

The selected two sets of test and reference raters should be mutually exclusive.

Author(s)

Yue Yu <[e-mail]>

See Also

TIR_IIR, TIR

Examples

data(DCLHb);
IIR(DCLHb, k=2,m=2,testindex=1,refindex=2,error="const",alpha=0.05);

Agreement documentation built on May 29, 2017, 3:30 p.m.