`ellipseChart.Rd`

Plot an ellipse chart for a bivariate quality control data.

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

- 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 character string specifying the main title. Set

`title = FALSE`

or`title = NA`

to remove the 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.

Mason, R.L. and Young, J.C. (2002) *Multivariate Statistical Process Control with Industrial Applications*, SIAM.

Montgomery, D.C. (2013) *Introduction to Statistical Quality Control*, 7th ed. New York: John Wiley & Sons.

Ryan, T. P. (2011), *Statistical Methods for Quality Improvement*, 3rd ed. New York: John Wiley & Sons, Inc.

```
# See examples in help(mqcc)
```