| ellipseChart {qcc} | R Documentation |
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 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. |
Luca Scrucca luca@stat.unipg.it
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.
mqcc, stats.T2, stats.T2.single