# Computes bootstrap adjusted properties for control charts

### Description

Computes bootstrap adjusted properties for control charts.

### Usage

1 2 | ```
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 |

### Value

An object of type SPCpropertyres.

### See Also

`SPC2sidedconfint`

### Examples

1 2 3 4 5 | ```
# 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))
``` |

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