qcs: Quality Control Statistics

Description

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.

Usage

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)

Arguments

a vector containing observed data

sample.index

a scalar with the column number corresponding the index 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-NA elements of the sample.index vector. For "p", "np" and "u" charts the argument sizes is required.

type

a character string specifying the group statistics to compute:

	Statistic charted
Chart description	`"xbar"`
mean	means of a continuous process variable
`"R"`	range
ranges of a continuous process variable	`"S"`
standard deviation	standard deviations of a continuous variable
`"one"`	mean
one-at-time data of a continuous process variable	`"p"`
proportion	proportion of nonconforming units
`"np"`	count
number of nonconforming units	`"c"`
count	nonconformities per unit
`"u"`	count
average nonconformities per unit

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 conf.nsigma > 1) or the confidence level (if 0 < conf.nsigma < 1).

limits

a two-values vector specifying control limits.

type.data

a string specifying el type de data.

lambda

the smoothing parameter $0

nsigma

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

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.

Value

Returns an object of class 'qcs'.

References

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.