capabilityNormal {qAnalyst} | R Documentation |
Computing Capability Analysis for Normal data
Description
capabilityNormal
is used to compute capability analysis for normal distributed data. This function creates a capability class object for normal data. plot
, print
and summary
methods are avaible for capability class objects.
Usage
capabilityNormal(x, sg=length(x), lsl = NULL, usl = NULL, target = NULL,
name = deparse(substitute(x)), toler=6, historicalMean=NA, historicalSd=NA)
Arguments
x |
Numeric data vector |
sg |
Subgroup specification. It represents rational sub-group of observations. It can be specified either as a vector, of the same length of |
lsl |
Lower specification limit. |
usl |
Upper specification limit. |
target |
Process target. |
name |
Variable label to be used within graphics, default taken by "x" name. |
toler |
Width of tolerance specification. Default is 6 |
historicalMean |
Mean of the population distribution if a known process parameter is available or an estimate obtained from past data. If mean value is not specified, it is estimated from data |
historicalSd |
Standard Deviation of the population distribution if a known process parameter is available or an estimate obtained from past data. If value of standard deviation is not specified, it is estimated from data |
Details
Either lsl or usl must be specified.
Value
An object of class capability
Note
No notes
Author(s)
Andrea Spano'
References
Bothe (1997), Measuring Process Capability, McGraw Hill
See Also
plot.capability
, print.capability
, summary.capability
Examples
data(brakeCap)
capObj=capabilityNormal(x=brakeCap$hardness,sg=brakeCap$subgroup, lsl=39,
usl=41, target=40, name="HARDNESS")
summary(capObj)