redistrict: Redistricting Monte-Carlo data
In eiPack: Ecological Inference and Higher-Dimension Data Management
redistrict R Documentation
Redistricting Monte-Carlo data
Description
Precinct-level observations for a hypothetical jurisdiction
with four proposed districts.
Usage
data(redistrict)
Format
A table containing 150 observations and 9 variables:
- precinct
precinct identifier
- district
proposed district number
- avg.age
average age
- per.own
percent homeowners
- black
number of black voting age persons
- white
number of white voting age persons
- hispanic
number of hispanic voting age persons
- total
total number of voting age persons
- dem
Number of votes for the Democratic candidate
- rep
Number of votes for the Republican candidate
- no.vote
Number of non voters
Source
Daniel James Greiner
eiPack documentation built on March 7, 2023, 7:04 p.m.
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| redistrict | R Documentation |
Redistricting Monte-Carlo data
Description
Precinct-level observations for a hypothetical jurisdiction with four proposed districts.
Usage
data(redistrict)
Format
A table containing 150 observations and 9 variables:
- precinct
precinct identifier
- district
proposed district number
- avg.age
average age
- per.own
percent homeowners
- black
number of black voting age persons
- white
number of white voting age persons
- hispanic
number of hispanic voting age persons
- total
total number of voting age persons
- dem
Number of votes for the Democratic candidate
- rep
Number of votes for the Republican candidate
- no.vote
Number of non voters
Source
Daniel James Greiner
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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