plotly_histtol: Plotting Histograms and Corresponding Tolerance Intervals for Continuous Data

Description

Provides interactive tolerance intervals for continous data based on its histogram.

Usage

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

Value

plotly_histtol can return histograms 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.
x.tick.size: Size of tick marks on the x-axis.
y.lab.size: Size of label of the y-axis.
y.tick.size: Size of tick marks on the y-axis.
title: The main title on top of the histogram.
title.size: Size of the title.
title.position.x: Horizontal position of the title.
title.position.y: Vertical position of the title.
bin.col: Color of the bins.
tol.col: Color of the tolerance interval(s).
tol.lwd: Width of the tolerance interval(s).
tol.line.type: Line type of the tolerance interval(s).

References

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

Examples

Run this code

## 90%/90% 1-sided Weibull tolerance intervals for a sample
## of size 150.
set.seed(100)
x <- rweibull(150, 3, 75)
out <- exttol.int(x = x, alpha = 0.15, P = 0.90, dist = "Weibull" , side = 1)
out
plotly_histtol(out, x, side = "lower", x.lab = "Weibull Data" , tol.lwd = 3)