plotly_controltol: Plotting Tolerance Intervals for Control Charts

In tolerance: Statistical Tolerance Intervals and Regions

Plotting Tolerance Intervals for Control Charts

Description

Provides interactive control charts for tolerance bounds on continuous data.

Usage

plotly_controltol(tol.out , 
                 x , 
                 side = c("two","upper", "lower"),
                 x.lab = NULL,
                 x.lab.size = NULL,
                 y.lab = NULL,
                 y.lab.size = NULL,
                 x.tick.size = NULL,
                 y.tick.size = NULL,
                 x.col = NULL,
                 x.cex = NULL,
                 fit.col = NULL,
                 fit.lwd = NULL,
                 fit.line.type = c("solid","dash","dot","dashdot"),
                 tol.col = NULL,
                 tol.lwd = NULL,
                 tol.line.type = c("dash","dot","dashdot","solid"),
                 title.position.x = NULL,
                 title.position.y = NULL,
                 title.size = NULL,
                 title = NULL)

Arguments

tol.out	Output from any continuous tolerance interval procedure.
x	Data from a continuous distribution.
side	side = "two" produces plots for either the two-sided tolerance intervals or both one-sided tolerance intervals. This will be determined by the output in tol.out. side = "upper" produces plots showing the upper tolerance bounds. side = "lower" produces plots showing the lower tolerance bounds. Note that if the output of in tol.out shows 2-sided tolerance intervals, side = "upper" and side = "lower" still shows both upper AND lower tolerance intervals.
x.lab	Label of the x-axis.
x.lab.size	Size of label of the x-axis.
y.lab	Label of the y-axis.
y.lab.size	Size of label of the y-axis.
x.tick.size	Size of tick marks on the x-axis.
y.tick.size	Size of tick marks on the y-axis.
x.col	Color of original data points.
x.cex	Size of original data points.
fit.col	Color of fitted line.
fit.lwd	Width of fitted line.
fit.line.type	Type of the fitted line.
tol.col	Color of the tolerance intervals when tol.out shows 2-sided tolerance intervals.
tol.lwd	Width of the tolerance intervals when tol.out shows 2-sided tolerance intervals.
tol.line.type	Line type of tolerance intervals.
title	The main title on top of the plot.
title.size	Size of the title.
title.position.x	Horizontal position of the title.
title.position.y	Vertical position of the title.

Value

plotly_controltol can return boxplots as well as corresponding tolerance intervals for any continuous data.

References

Montgomery, D. C. (2005), Introduction to Statistical Quality Control, Fifth Edition, John Wiley & Sons, Inc.

See Also

plottol

Examples

## 95%/85% 2-sided Bayesian normal tolerance limits for
## a sample of size 100.
set.seed(100)
x <- rnorm(100)
out <- bayesnormtol.int(x = x, alpha = 0.05, P = 0.85,
                        side = 2, method = "EXACT",
                        hyper.par = list(mu.0 = 0,
                                         sig2.0 = 1, n.0 = 10, m.0 = 10))
out
plotly_controltol(out, x, x.lab = "Normal Data")

tolerance documentation built on May 29, 2024, 7:38 a.m.