stat_raw {callback} | R Documentation |
Unmatched callback rates
Description
Number and proportion of callbacks for all the candidates.
Usage
stat_raw(x, method = "student", level = 0.95)
Arguments
x |
A |
method |
estimation method, "cp" for Clopper-Pearson, "wilson" for Wilson and "student" for Student (the default). |
level |
A number, containing the level of the confidence intervals (0.95 by default). |
Value
A callback_stat
object with 2 components: specif and props.
specif
: A list containing
convention: string "raw callback rates".
cid: convention on 3 characters.
method: the 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).
source: the R stats function used to compute the statistics (binom.test, prop.test or t.test).
name: the name of the statistic (Fisher, Pearson or Student).
props
: a data frame containing the following variables.
tests: number of tests
callback: number of callbacks
inf_p_callback: callback rate lower bound
p_callback: callback rate
sup_p_callback: callback rate upper bound
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.
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(labour2)
x <- callback(data=labour2,cluster="offer",candid="hist",callback="callback")
str(stat_raw(x))