stat_mcr {callback}R Documentation

Matched callback rates

Description

Computes the matched callback rates, their confidence intervals and performs the equality tests between the candidates.

Usage

stat_mcr(x, method = "student", level = 0.95)

Arguments

x

a callback object.

method

estimation method, "cp" for Clopper-Pearson, "wilson" for Wilson and "student" for Student (the default).

level

the level of the confidence intervals (0.95 by default).

Value

A list with class "callback_stat" containing 4 components: specif, counts, props and stats

specif: A list containing

counts: a data frame with the callback counts.

props: A data frame containing the following proportions and their confidence intervals (when relevant)

stats: a data frame containing the statistics for testing the equality of proportions.

Author(s)

Emmanuel Duguet

References

Clopper, C. J. & Pearson, E. S. (1934). The use of confidence or fiducial limits illustrated in the case of the binomial. Biometrika, 26, 404–413. doi:10.2307/2331986.

Student. (1908). The Probable Error of a Mean. Biometrika, 6(1), 1–25. doi:10.2307/2331554.

Wilson, E.B. (1927). Probable inference, the law of succession, and statistical inference. Journal of the American Statistical Association, 22, 209–212. doi:10.2307/2276774.

Examples

data(labour1)
x <- callback(data=labour1,cluster="offer",candid="hist",callback="callback")
str(stat_mcr(x))


[Package callback version 0.1.3 Index]