sim.compare.jury.stats: Estimates jury-level differences based on juror-level...

In sate: Scientific Analysis of Trial Errors (SATE)

Estimates jury-level differences based on juror-level statistics using simulations based on empirical data

Description

Calculates jury-level differences based on juror-level statistics supplied by user. Results based on empirical data, inferential statistics produced via simulations.

Usage

sim.compare.jury.stats(
  pg_actual,
  n_actual,
  pg_hypo,
  n_hypo,
  jury_n = 12,
  digits = 3,
  pstrikes = 0,
  dstrikes = 0,
  accuracy = 0.15,
  seed = 12345,
  nDraws = 10000
)

Arguments

pg_actual	The proportion of jurors who favor a guilty verdict in the actual trial condition (the trial with error).
n_actual	The size of the sample used to estimate pg_actual.
pg_hypo	The proportion of jurors who favor a guilty verdict in the hypothetical trial condition (the fair trial without error).
n_hypo	The size of the sample used to estimate pg_hypo.
jury_n	Size of the jury (i.e. 6, 8, or 12); default value is 12.
digits	Number of digits to report after decimal places; default value is 3.
pstrikes	Number of peremptory strikes by prosecution; default value is 0.
dstrikes	Number of peremptory strikes by defendant; default value is 0.
accuracy	Accuracy of parties' peremptory strikes; a number between 0 and 1; default value is .15.
seed	Set seed for random number generation for replication, default is 12345.
nDraws	The number of simulations used to generate results. Should be very large number (default = 10000).

Value

Returns a list of jury-level statistics to assess effect of a trial error.

Examples

   library(sate)
   sim.compare.jury.stats(pg_actual=.70, n_actual=400, pg_hypo=.60, n_hypo=450, nDraws=500)

   sim.compare.jury.stats(pg_actual=.75, n_actual=450, pg_hypo=.65, n_hypo=350,
                      seed=12345, nDraws=1000)

sate documentation built on April 3, 2025, 11:14 p.m.