SPCproperty: Computes bootstrap adjusted properties for control charts

In spcadjust: Functions for Calibrating Control Charts

Description

Computes bootstrap adjusted properties for control charts.

Usage

SPCproperty(data, nrep = 500, chart, property, params, covprob = 0.9,
  quiet = FALSE, reportdistr = FALSE, parallel = 1)

Arguments

data	The observed data.
nrep	The number of bootstrap repetitions. Default 500.
chart	The chart to be used.
property	The property to be computed. A string. Must be implemented by the chart.
params	Additional parameters for computing the property.
covprob	The coverage probability of the adjustment. Default 0.9.
quiet	Logical value indicating if progress bar should be suppressed. Default FALSE.
reportdistr	Logical value indicating if the ecdf of the bootstrap distribution should be plotted. Default FALSE.
parallel	Number of cores to use for parallel computations (using mclapply from the package parallel). Defaults to 1. If set to Inf then the number of cores is automatically detected and all but one are used. Has to be set to 1 under Windows.

Value

An object of type SPCpropertyres.

See Also

SPC2sidedconfint

Examples

 # calibrate CUSUM chart to an in-control ARL of 100.
 # run with a larger number of replications in real examples!
 X <-  rnorm(100) #observed data
 chart <- new("SPCCUSUM",model=SPCModelNormal(Delta=1)) # CUSUM chart with normal observations
SPCproperty(data=X,nrep=15,chart=chart,property="calARL", params=list(target=100))

spcadjust documentation built on May 1, 2019, 7:49 p.m.