qcs | R Documentation |
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.
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 0 <= lambda <= 1 | ||||||||||||||||||||||||||||||
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.
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