compareAgreement: Compare agreement A with and without simulated coding error

In agrmt: Calculate Concentration and Dispersion in Ordered Rating Scales

Compare agreement A with and without simulated coding error

Description

Calculate agreement in ordered rating scales, and compares this to agreement with simulated coding error.

Usage

compareAgreement(V, n=500, e=0.01, N=500, pos=FALSE)

Arguments

V	A vector with an entry for each individual
n	Number of samples in the simulation of coding errors
e	Proportion of samples for which errors are simulated
N	Number of replications for calculating mean and standard deviation
pos	Vector of possible positions. If FALSE, the values occurring in V are set as the possible values

Details

This function calculates agreement on a vector, and compares the value with agreement with simulated coding error. It runs the function agreementError N times. The other arguments (n, e, pos) are passed down to the agreementError function.

Value

The function returns a list with agreement A without simulated coding errors, the mean of agreement with simulated coding error, and the standard deviation of agreement with simulated coding error.

Author(s)

Didier Ruedin

See Also

agreement, agreementError

Examples

# Sample data:
V <- c(1,1,1,1,2,3,3,3,3,4,4,4,4,4,4)
compareAgreement(V)

agrmt documentation built on Jan. 5, 2024, 3:01 a.m.