LR_Hamilton: Hamilton-Hare Largest Remainder Method

In pierzgal/disprr: Simulate Proportional Representation Election Results and Compute Disproportionality Measures

Description

Allocate seats to parties using Hamilton-Hare largest remainder apportionment method.

Usage

LR_Hamilton(parties = NULL, votes = NULL, seats = NULL, threshold = 0,
  order_name = TRUE, ...)

Arguments

parties	A character vector for party labels in the same order as in the numerical vector of votes for parties. If NULL, 3-letter identifiers (e.g. 'XYZ') will be assigned.
votes	A numeric vector of votes received by each party.
seats	The number of seats to be apportioned.
threshold	A numeric value between [0, 1]. Default is set to 0.
order_name	A logical value. Sort rows of a dataframe with results by party name (alphabetically).

Value

A data.frame of length parties containing apportioned seats.

Examples

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pierzgal/disprr documentation built on May 25, 2019, 7:11 a.m.