Multivariate Quality Control Charts

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Description

Plot an ellipse chart for a bivariate quality control data.

Usage

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ellipseChart(object, chart.all = TRUE, show.id = FALSE, ngrid = 50,
             confidence.level, correct.multiple = TRUE, 
             title, xlim, ylim, xlab, ylab,
             restore.par = TRUE)

Arguments

object

an object of class 'mqcc'.

chart.all

a logical value indicating whether both statistics for data and for newdata (if given) should be plotted.

show.id

a logical value indicating whether to plot point labels (TRUE) or symbols (FALSE) for group means.

ngrid

a value for the size of the grid over which the ellipse is evaluated.

confidence.level

a numeric value between 0 and 1 specifying the confidence level of the computed probability limits.

correct.multiple

a logical value indicating whether to correct or not for multiple comparisons.

title

a string giving the label for the main title.

xlim

a numeric vector specifying the limits for the x-axis.

ylim

a numeric vector specifying the limits for the y-axis.

xlab

a string giving the label for the x-axis.

ylab

a string giving the label for the y-axis.

restore.par

a logical value indicating whether the previous par settings must be restored. If you need to add points, lines, etc. to a control chart set this to FALSE.

Author(s)

Luca Scrucca luca@stat.unipg.it

References

Mason, R.L. and Young, J.C. (2002) Multivariate Statistical Process Control with Industrial Applications, SIAM.
Montgomery, D.C. (2005) Introduction to Statistical Quality Control, 5th ed. New York: John Wiley & Sons.
Ryan, T. P. (2000), Statistical Methods for Quality Improvement, 2nd ed. New York: John Wiley & Sons, Inc.

See Also

mqcc, stats.T2, stats.T2.single

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