plotly_histtol: Plotting Histograms and Corresponding Tolerance Intervals for...

In tolerance: Statistical Tolerance Intervals and Regions

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"))

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).

Value

plotly_histtol can return histograms 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

## 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)

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