qcc: ellipseChart – R documentation

Pricing

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

Get Started for Free

Documentation

qcc

ellipseChart

Multivariate Quality Control Charts

Description

Plot an ellipse chart for a bivariate quality control data.

Usage

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`.
`...`	additional arguments to be passed to the generic `points` function.

Author(s)

Luca Scrucca

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.

Examples

# See examples in help(mqcc)

qcc

Quality Control Charts

v2.7

GPL (>= 2)

Authors

Luca Scrucca [aut, cre], Greg Snow [ctb], Peter Bloomfield [ctb]

Initial release

2017-07-09