SPCModelNonparCenterScale: Nonparametric Resampling with Centering and Scaling

In spcadjust: Functions for Calibrating Control Charts

Description

Nonparametric resampling of univariate observations. Updates are centered and scaled transformations of the data (with a constant potentially being subtracted).

Usage

SPCModelNonparCenterScale(Delta = 0)

Arguments

Delta

how much to subtract before scaling.

Details

Calls SPCModelNonpar to generate the data object, so it only needs to specify the meaning of xi, the parameter needed to compute updates and the definition of the updates.

• xi: a list with two elements:

  • mu: the mean.

  • sd: the standard deviation.

• updates(xi,data): returns the centered and scale version of the data from which Delta/2 has been subtracted, i.e.

  (data-mu-Delta/2)/sd

Value

An object of class SPCDataModel.

An object of class SPCDataModel.

See Also

SPCModelNonpar

Examples

X <- rnorm(1000)

#CUSUM chart
model <- SPCModelNonparCenterScale(1)
chart <- new("SPCCUSUM",model=model)
SPCproperty(data=X,nrep=10,property="calARL",
            chart=chart,params=list(target=100))

#Shewhart chart
model <- SPCModelNonparCenterScale(0)
chart <- new("SPCCUSUM",model=model)
SPCproperty(data=X,nrep=10,property="calARL",
            chart=chart,params=list(target=100))

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