dgroups: Generates groups of simulated test series.

In droptest: Simulates LOX Drop Testing

Description

dgroups returns a collection test series organized into groups. Each batch of test series are identified with a group number. Test parameters will be uniform within each group.

Usage

dgroups(num.groups = NULL, probs = NULL, ...)

Arguments

num.groups	Integer. Specifies how many groups of drop tests to simulate.
probs	Vector. Specifies probabilities of q used for each group. Vector length must equal value of num.groups.
...	Passes values to dseries.

Value

Data table of groups where each group consists of multiple drop tests. Consisting of the following elements:

• F_CRITERIA The failure criteria specified.

• REACT The total number of simulated reactions (failures).

• NON_REACT The total number of simulated non-reactions (successes).

• TRIALS The number of simulated trials performed until failure condition met.

• MAX_TRIALS The maximum number of simulated trials to perform as specified.

• PCT_REACT The percent of simulated trials that yielded a reaction (failure).

• Q The probability of failure (reaction) as specified.

• P The probability of success (non-reaction).

• RESULT Whether the simulated test series as a whole failed or passed based on the failure criteria specified.

• GROUP Denotes the group of simulated test series.

Author(s)

Chad Ross [e-mail]

See Also

dseries dtrials droptest

Examples

  dgroups(num.groups = 2, probs = c(0.01, 0.2), num.series = 5)
  dgroups(num.groups = 2, probs = c(0.01, 0.2), num.series = 5, max.trials = 60)
  dgroups(num.groups = 2, probs = c(0.01, 0.2), num.series = 5, fail.criteria = 2)
  dgroups(num.groups = 5, probs = seq(0.01, 0.05, by = 0.01), num.series = 2) 

droptest documentation built on May 1, 2019, 10:14 p.m.