maximumBounds {elec} | R Documentation |
Various bounding functions used to bound the maximum amount of error one could see in a single audit unit.
maximumMarginBound(Z, votes = NULL) fractionOfVotesBound(Z, frac = 0.4)
Z |
The elec.data object. |
votes |
The data.frame to compute the maximumMarginBounds for. If null, will return all bounds for all precincts in Z. |
frac |
Fraction of total votes that could be a winner overstatement/loser understatement. So if the worst-case is a 20% flip then enter 0.4 |
maximumMarginBound return the maximum margin reduction for each precint by computing all margin reductions between pairs of winners & losers and then scaling by that pair's total margin to get a proportion and then taking the max of all such proportions (usually will be the last winner to the closest loser).
fractionOfVotesBound: WPM. The maximum error of the unit is a fixed percentage of the total votes cast in the unit. Typically the 20% WPM is used–meaning a swing of 40% is the largest error possible as 20% of the votes go from the winner to the loser.
Vector (of length of precincts) of maximum possible error for each precinct.
Luke W. Miratrix