stat_prop: Callback rates on paired data

In callback: Computes Statistics from Discrimination Experimental Data

Callback rates on paired data

Description

Computes the callback rates and their confidence intervals.

Usage

stat_prop(x, level = 0.95)

Arguments

x	A callback object.
level	A number, containing the level of the confidence intervals (0.95 by default).

Value

A data frame containing the following components (p refers to a proportion of tests, r refers to a proportion of callbacks):

tests	number of tests
Lxx_p_callback	overall callback rate, lower bound
p_callback	overall callback rate
Uxx_p_callback	overall callback rate, upper bound
Lxx_p_cand1	1st candidate callback rate, lower bound
p_cand1	1st candidate callback rate
Uxx_p_cand1	1st candidate callback rate, upper bound
Lxx_p_cand2	2nd candidate callback rate, lower bound
p_cand2	2nd candidate callback rate
Uxx_p_cand2	2nd candidate callback rate, upper bound
callback	number of callbacks
Lxx_r_cand1	1st candidate proportion of callbacks, lower bound
r_cand1	1st candidate proportion of callbacks
Uxx_r_cand1	1st candidate proportion of callbacks, upper bound
Lxx_r_cand2	2nd candidate proportion of callbacks, lower bound
r_cand2	2nd candidate proportion of callbacks
Uxx_r_cand2	2nd candidate proportion of callbacks, upper bound

Examples

data(labour1)
x <- callback(data=labour1,cluster="offer",candid="hist",callback="callback")
stat_prop(x,level=0.99)

callback documentation built on May 29, 2024, 4:57 a.m.