SPCModelNonpar: Generic Model for Nonparametric Resampling
In spcadjust: Functions for Calibrating Control Charts

Description Usage Arguments Details Value

Generic model that allows nonparametric resampling (with replacement) of the data. The transformation of data into updates needs to be defined via the arguments.

1	SPCModelNonpar(updates, xiofP)

`updates`	function that computes updates.
`xiofP`	function that computes xi given P.

The parameters to the functions being returned have the following meaning.

data: a numeric vector or a matrix where the rows contain the observations.
xi: depends on the parameter xiofP.
P: The data with no modifications (thus either a numeric vector or a matrix).

The main operations are defined as follows:

resample(P): generates a new data set of the same size by either resampling the values (if the data is a vector) or by resampling the rows of the data matrix (both use resampling with replacement).

An object of class SPCDataModel.

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