Computes Statistics from Discrimination Experimental Data

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Documentation for package ‘callback’ version 0.1.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

address1	Origin/Gender discrimination and strongly negative mediatic exposure (information technologist)
callback	Data formatting
gender1	Gender/Maternity discrimination (commercial and administrative jobs in the financial sector)
gender2	Gender/Maternity discrimination (electricians)
gender3	Gender/Maternity discrimination (masons)
gender4	Gender/Maternity discrimination (plumbers)
graph	Generic plot function
graph.stat_ecs	Exclusive callback shares plots
graph.stat_glob	Global callback rates plot
graph.stat_mcr	Matched callback rates plots
graph.stat_tcs	Total callback shares plots
g_difp	Difference of proportions plot
g_ecs	Exclusive callback shares plot
g_prop	Proportions' comparison plot
g_tcs	Total callback shares plot
inter1	Gender/Origin discrimination (software developer)
is.calc	Computational compatibility
labour1	Labour market history discrimination (accountants)
labour2	Labour market history discrimination (sales assistant)
mobility1	Gender discrimination and mobility (management controller)
origin1	Origin discrimination (accountants)
origin2	Origin discrimination (waiters)
print.callback	Prints the structure of the experiment
print.stat_count	Print the callback counts analysis
print.stat_ecs	Prints the proportions of the total callback shares
print.stat_glob	Prints the global callback statistics
print.stat_mcr	Prints the callback proportions analysis
print.stat_tcs	Prints the proportions of the total callback shares
stat_colsums	Sums the numeric or logical columns in a data frame.
stat_count	Callback counts on paired data
stat_ecs	Exclusive callback shares
stat_glob	Unmatched callback rates
stat_mcr	Matched callback rates
stat_signif	Significance code of a p-value
stat_tcs	Total callback shares