bangdiwala2RR.fn: Bangdiwala B coefficient for 2 raters when input dataset is...

In kgwet/irrCAC: Computing the Extent of Agreement among Raters with Chance-Corrected Agreement Coefficient (CAC)

Bangdiwala B coefficient for 2 raters when input dataset is made up of 2 columns of raw data.

Description

Bangdiwala B coefficient for 2 raters when input dataset is made up of 2 columns of raw data.

Usage

bangdiwala2RR.fn(fra.ratings.raw, conflev = 0.95, N = Inf)

Arguments

fra.ratings.raw	A dataframe with 2 columns of raw ratings.
conflev	An optional parameter that specifies the confidence level used for constructing confidence intervals. By default the function assumes the standard value of 95%.
N	An optional parameter representing the finite population size if any. It is used to perform the finite population correction to the standard error. It's default value is infinity.

Value

A data frame containing the following 9 variables: coeff.name, b1, b2, coeff.val, coeff.se, conf.int, p.value, n and name of the weight used.

Examples

The dataset cac.ben.gerry comes with this package. Analyze it as follows:
bangdiwala2RR.fn(cac.ben.gerry[,c(3,4)]), using only the last 2 columns.
The result will be following:
coeff.name        pa        pe coeff.val  coeff.se  conf.int     p.val tot.obs
1 Bangdiwala''s B 0.1322314 0.2066116      0.64 0.2158518 (0.159,1) 7.083e-03      11
w.name
1 Identity

kgwet/irrCAC documentation built on Feb. 12, 2024, 11:48 p.m.