5 226 people arrested for possession of a small quantity of marijuana. The outcome is whether the person was released with a summons rather than held. This is the running example of the All else equal article: 86 % of white arrestees were released against 74 % of black arrestees, and the article asks what survives of that gap when people alike on everything else are compared.
Format
A tibble of 5 226 rows and 8 columns.
- released
Released with a summons? "Yes" first – it is what the article studies.
- colour
The arrestee's race as the police recorded it: "White" first, then "Black".
- year
1997 to 2002.
- age
Age in years.
- sex
Female or Male.
- employed
Employed? "Yes" first.
- citizen
A Canadian citizen? "Yes" first.
- checks
On how many of six police databases the person's name already appeared, 0 to 6.
Source
The complete Arrests data of the carData package (John Fox, Sanford Weisberg and
Brad Price), GPL (>= 2) – with thanks; gathered by Michael Friendly for a series in the
Toronto Star. tabxplor's copy changes only the level order: the yes/no items read "Yes"
first, and colour starts at "White".
Examples
tab(car_arrests, colour, released, pct = "row", color = "difference")
#> # A tabxplor tab: 3 × 4
#> colour Yes No Total
#> <row%> <row%> <row% (n)>
#> 1 White 86% 14% 100% (3 938)
#> 2 Black 74% 26% 100% (1 288)
#> 3 Total 83% 17% 100% (5 226)
#> # difference (Total): -30 -20 -10 -5 +5 +10 +20 +30