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)