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callback (version 0.1.1)

Computes Statistics from Discrimination Experimental Data

Description

In discrimination experiments candidates are sent on the same test (e.g. job, house rental) and one examines whether they receive the same outcome. The number of non negative answers are first examined in details looking for outcome differences. Then various answering rates and their exacts confidence intervals are computed. Last, exact and asymptotic discrimination tests are performed. Graphical methods are also available.

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Version

Install

install.packages('callback')

Monthly Downloads

215

Version

0.1.1

License

GPL-3

Maintainer

Emmanuel Duguet

Last Published

July 13th, 2024

Functions in callback (0.1.1)

origin1

Origin discrimination (accountants)
print.callback

Prints the structure of the experiment
print.stat_mcr

Prints the callback proportions analysis
stat_colsums

Sums the numeric or logical columns in a data frame.
print.stat_count

Print the callback counts analysis
stat_signif

Significance code of a p-value
stat_tcs

Total callback shares
stat_ecs

Exclusive callback shares
stat_mcr

Matched callback rates
stat_count

Callback counts on paired data
stat_glob

Unmatched callback rates
inter1

Gender/Origin discrimination (software developer)
print.stat_glob

Prints the global callback statistics
print.stat_tcs

Prints the proportions of the total callback shares
origin2

Origin discrimination (waiters)
gender1

Gender/Maternity discrimination (commercial and administrative jobs in the financial sector)
callback

Data formatting
g_tcs

Total callback shares plot
g_ecs

Exclusive callback shares plot
g_difp

Difference of proportions plot
g_prop

Proportions' comparison plot
is.calc

Computational compatibility
graph.stat_glob

Global callback rates plot
graph.stat_tcs

Total callback shares plots
graph

Generic plot function
graph.stat_mcr

Matched callback rates plots
gender3

Gender/Maternity discrimination (masons)
mobility1

Gender discrimination and mobility (management controller)
labour2

Labour market history discrimination (sales assistant)
address1

Origin/Gender discrimination and strongly negative mediatic exposure (information technologist)
gender2

Gender/Maternity discrimination (electricians)
gender4

Gender/Maternity discrimination (plumbers)
labour1

Labour market history discrimination (accountants)
graph.stat_ecs

Exclusive callback shares plots