tri.sample | R Documentation |
tri.sample selects a sample of precincts PPEB. Namely, samples n times, with replacement, from the precincts proportional to the weights of the precincts.
tri.sample( Z, n, seed = NULL, print.trail = FALSE, simplify = TRUE, return.precincts = TRUE, PID = "PID", known = "known" )
Z |
elec.data object |
n |
Either a audit.plan.tri object (that contains n) or an integer which is the size of the sample |
seed |
Seed to use. |
print.trail |
Print diagnostics and info on the selection process. |
simplify |
If TRUE, return a data frame of unique precincts sampled, with counts of how many times they were sampled. Otherwise return repeatedly sampled precincts seperately. |
return.precincts |
Return the precincts, or just the precint IDs |
PID |
The name of the column in Z\$V holding unique precinct IDs |
known |
Name of column in Z\$V of TRUE/FALSE, where TRUE are precincts that are considered “known”, and thus should not be sampled for whatever reason. |
The weights, if passed, are in the “e.max” column of Z\$V.
a sample of precincts.
Luke W. Miratrix
trinomial.bound
elec.data
tri.calc.sample
data(santa.cruz) Z = elec.data( santa.cruz, C.names=c("danner","leopold") ) samp = tri.calc.sample( Z, beta=0.75, guess.N = 10, p_d = 0.05, swing=10, power=0.9, bound="e.plus" ) tri.sample( Z, samp, seed=541227 )
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