stv: Implement STV Counting Systems

Description Usage Arguments Details Value Examples

View source: R/stv.R

Description

Analyze a data frame of STV election ballot rankings and return the elected voters and details of the steps in the election counting.

Usage

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stv(
  x,
  seats = 1,
  file = "",
  surplusMethod = "Cambridge",
  quotaMethod = "Droop",
  quotaFloor = TRUE
)

Arguments

x

a data frame with rows of ballots and columns for each candidate. x must pass all checks from validateBallots.

seats

an integer (default = 1) indicating candidates to elect.

file

a character string naming a file; "" (default) indicates output to the console only (default), otherwise a CSV file is created (and thus file should end with ".csv").

surplusMethod

a character string indicating which method to use for surplus allocation. Currently supports "Cambridge" (default) and "Fractional".

quotaMethod

a character string indicating which method to use for calculation of quota. Currently supports "Droop" (default) and "Hare".

quotaFloor

a logical value indicating that candidates must reach the integer part of the quota in order to be elected if "TRUE" (default) or that they must reach the exact quota which may be fractional if "FALSE".

Details

Revise the details: stv() first validates x by running the validateBallots() function. Once validation is complete, it implements the selected single transferable vote counting method. Each round of counting starts with idetification of active ballots. Then a quota is calculated (currently only supports Droop method floor(votes/(seats + 1)) + 1 and Hare method floor(votes/seats)) with or without the floor() rounding. A tally of each candidate's vote share is obtained using top choices of active ballots, where a ballot stays active until it runs out of marked choices or gets removed during surplus reallocation. If a candidate reaches the quota, she/he is elected and associated surplus ballots are reallocated (currently only supports Cambridge and Fractional methods). If multiple candidates reach the quota, all of them are elected and their surpluses are all reallocated. If no candidate reaches the quota, then the candidate with the minimum number of votes is eliminated. If multiple candidates tie for minimum number of votes, one of them is selected at random and eliminated. The process is repeated until all of the seats are filled or the number of candidates still in race equals the number of unfilled seats. In the later case, all of the active candidates are elected.

Value

The object returned is a list consisting of two components: a vector of the elected candidates, and a data frame with rows containing detailed results from each round of STV counting.

For every round of vote counting, a row of the detailed information contains: number of active ballots, seats to remaining to be filled, the current quota, the maximum and minimum votes obtained by each candidate, who was eliminated (if applicable), whether there was a tie for elimination (indicated by how many tied), who was elected (if applicable), the surplus if elected (or multiple surpluses if multiple candidates were elected), and each candidate's votes tally for that round.

Examples

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data(ballots)
cballots <- cleanBallots(ballots)

set.seed(1)
result1 <- stv(cballots, seats = 4)
names(result1)
result1$elected

set.seed(4)
result2 <- stv(cballots, seats = 4)
result2$elected

## Not run: 
result3 <- stv(cballots, seats = 4, surplusMethod = "Fractional")
result3$elected

result4 <- stv(cballots, seats = 4, surplusMethod = "Fractional",
               quotaMethod = "Hare")
result4$elected

result5 <- stv(cballots, seats = 4, surplusMethod = "Cambridge",
               quotaMethod = "Hare")
result5$elected

## End(Not run)

jayemerson/STV documentation built on Feb. 3, 2021, 4:22 a.m.