plotly_controltol: 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)

Value

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

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.

References

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

Examples

Run this code

## 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")