Description Usage Arguments Value References

Create an object of class 'qcs' to perform statistical quality control. This object may then be used to plot Shewhart charts, Multivariate Control Charts, and more.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ```
qcs(x, sample.index, sizes = NULL, type = c("xbar", "R", "S", "one", "p",
"np", "c", "u", "ewma", "cusum"), center = NULL, std.dev, conf.nsigma = 3,
limits = NULL, type.data = c("continuous", "atributte", "dependence"),
lambda = 0.2, decision.interval = 5, se.shift = 1)
qcs.continuous(x, sample.index, sizes = NULL, type = c("xbar", "R", "S",
"one"), center = NULL, std.dev, conf.nsigma = 3, limits = NULL)
qcs.atributte(x, sample.index = NULL, sizes = NULL, type = c("p", "np",
"c", "u"), center = NULL, conf.nsigma = 3, limits = NULL)
qcs.dependence(x, sample.index = NULL, sizes = NULL, type = c("ewma",
"cusum"), center = NULL, std.dev, nsigma = 3, lambda = 0.2,
decision.interval = 5, se.shift = 1)
``` |

`x` |
a vector containing observed data | ||||||||||||||||||||||||||||||

`sample.index` |
a scalar with the column number corresponding to the index of each group (sample). | ||||||||||||||||||||||||||||||

`sizes` |
a value or a vector of values specifying the sample sizes
associated with each group. For continuous data the sample sizes are obtained counting the non- | ||||||||||||||||||||||||||||||

`type` |
a character string specifying the group statistics to compute:
| ||||||||||||||||||||||||||||||

`center` |
a value specifying the center of group statistics or the ”target” value of the process. | ||||||||||||||||||||||||||||||

`std.dev` |
a value or an available method specifying the within-group standard deviation(s) of the process. Several methods are available for estimating the standard deviation in case of a continuous process variable. | ||||||||||||||||||||||||||||||

`conf.nsigma` |
a numeric value used to compute control limits, specifying the
number of standard deviations (if | ||||||||||||||||||||||||||||||

`limits` |
a two-value vector specifying control limits. | ||||||||||||||||||||||||||||||

`type.data` |
a string specifying el type de data. | ||||||||||||||||||||||||||||||

`lambda` |
the smoothing parameter | ||||||||||||||||||||||||||||||

`decision.interval` |
A numeric value specifying the number of standard errors of the summary statistics at which the cumulative sum is out of control. | ||||||||||||||||||||||||||||||

`se.shift` |
The amount of shift to detect in the process, measured in standard errors of the summary statistics. | ||||||||||||||||||||||||||||||

`nsigma` |
a numeric value used to compute control limits, specifying the number of standard deviations. |

Returns an object of class 'qcs'.

Montgomery, D.C. (2000) *Introduction to Statistical
Quality Control*, 4th ed. New York: John Wiley & Sons.

Wetherill, G.B.
and Brown, D.W. (1991) *Statistical Process Control*. New York:
Chapman & Hall.

qcr documentation built on May 29, 2017, 3:01 p.m.

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