ProcessControl[SControlLimits] - compute control limits for the S chart
|
Calling Sequence
|
|
SControlLimits(X, n, options)
|
|
Parameters
|
|
X
|
-
|
data
|
n
|
-
|
(optional) sample size
|
options
|
-
|
(optional) equation(s) of the form option=value where option is one of confidencelevel, ignore, or sigma; specify options for computing the control limits
|
|
|
|
|
Description
|
|
•
|
The SControlLimits command computes the upper and lower control limits for the S chart. Unless explicitly given, the standard deviation of the underlying quality characteristic is computed based on the data.
|
•
|
The first parameter X is either a single data sample - given as a Vector or list - or a list of data samples. Each value represents an individual observation. Note, that the individual samples can be of variable size.
|
•
|
If X is a single data sample, the second parameter n is used to specify the size of individual samples.
|
|
|
Computation
|
|
•
|
All computations involving data are performed in floating-point; therefore, all data provided must have type realcons and all returned solutions are floating-point, even if the problem is specified with exact values.
|
•
|
For more information about computation in the ProcessControl package, see the ProcessControl help page.
|
|
|
Options
|
|
|
The options argument can contain one or more of the following options.
|
•
|
confidencelevel=realcons -- This option specifies the required confidence level. The default value is 0.9973, corresponding to a 3 sigma confidence level.
|
•
|
ignore=truefalse -- This option controls how missing values are handled by the SControlLimits command. Missing values are represented by undefined or Float(undefined). So, if ignore=false and X contains missing data, the SControlLimits command returns undefined. If ignore=true, all missing items in X are ignored. The default value is true.
|
•
|
sigma=deduce or realcons -- This option specifies the standard deviation of the underlying quality characteristic.
|
|
|
Examples
|
|
>
|
|
>
|
|
>
|

|
>
|

|
>
|
|
Sample Size: constant
Estimated Sigma: .0106658727196788
| |
| (1) |
>
|
|
Sample Size: constant
Estimated Sigma: .0106658727196788
| |
| (2) |
>
|
|

| (3) |
>
|
|

| (4) |
|
|
References
|
|
|
Montgomery, Douglas C. Introduction to Statistical Quality Control. 2nd ed. New York: John Wiley & Sons, 1991.
|
|
|