callback: Data formatting

In callback: Computes Statistics from Discrimination Experimental Data

Data formatting

Description

Creates the data set used in the callback package.

Usage

callback(data, cluster, candid, callback, comp = "ref")

Arguments

data	A data frame.
cluster	A variable name, identifying the test (e.g. a job offer number).
candid	A list of factor names defining the candidates (e.g., gender, origin).
callback	A Boolean variable, equal to TRUE for non negative callbacks.
comp	An option, equal to "all" or "ref" (the default). "ref" give the comparisons with the reference candidate, and "all" the pairwise comparisons.

Value

A 'callback' object containing the formatted data sets (fds), the list of the paired formatted data sets (pfds), the list of the clusters retained in the paired formatted data sets (cfds), the names of the candidate variables (candid) and the name of the callback variable (callback). fds contains the following variables:

cluster	the cluster variable.
candid	the concatenation of the candidate variables.
callback	the callback variables.

pfds data frames containing the following variables:

callback1	TRUE if candidate 1 had a callback.
callback2	TRUE if candidate 2 had a callback.
c00	TRUE if neither candidate was called back.
c10	TRUE if candidate 1 was the only one called back.
c01	TRUE if candidate 2 was the only one called back.
c11	TRUE if both candidates were called back.
callback	TRUE if either candidate was called back.
calldif	callback difference (callback1-callback2).

cfds data frames containing the cluster variable.

Examples

data(inter1)
callback(data=inter1,cluster="offer",candid=c("gender","origin"), callback="callback",comp = "ref")

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