capabilityNotNormal {qAnalyst}R Documentation

Capability object creator for non - normal data

Description

capabilityNotNormal function creates capability class object for non - normal data given specification limits. plot, print, summary methods are avaible for capability class objects.

Usage

capabilityNotNormal(x,  lsl = NULL, usl = NULL, target = NULL, distribution,
    name = deparse(substitute(x)),  toler=6, histPars=c(NA,NA))

Arguments

x

a numeric data vector.

lsl

lower specification limit.

usl

upper specification limit.

target

process target.

distribution

distribution of the variable.

name

name of the variable, default taken by "x" name.

toler

width of tolerance specification. Default is 6, that is six sigma.

histPars

a vector of two elements that allows user to specify historical mean and standard deviation respectively.

Details

Either lsl or usl must be specified. Hypothized distribution must be specified. capabilityNotNormal is a wrapper of many internal functions, that check user specifications consistency and perform calculation of statistics. Results are stored in a capability object.

Value

A capability object list is returned

Note

Creates the core capability objects

Author(s)

Giorgio Spedicato

References

Bothe (1997), Measuring Process Capability, McGraw Hill

See Also

plot.capability, print.capability, summary.capability

Examples

data(warpTiles)
capObj=capabilityNotNormal(x=warpTiles$warping, usl=8, target=40, distribution="weibull",
    name="warping")
summary(capObj)
  

[Package qAnalyst version 0.6.4 Index]