plotly_multitol: Plotting Tolerance Region for Multivariate Distributions

In tolerance: Statistical Tolerance Intervals and Regions

Plotting Tolerance Region for Multivariate Distributions

Description

Provides interactive tolerance region on multivariate continuous data.

Usage

plotly_multitol(tol.out,
               x,
               x.lab = NULL,
               x.lab.size = NULL,
               y.lab = NULL,
               y.lab.size = NULL,
               z.lab = NULL,
               z.lab.size = NULL,
               x.tick.size = NULL,
               y.tick.size = NULL,
               z.tick.size = NULL,
               x.col = NULL,
               x.cex = NULL,
               tol.col = NULL,
               tol.lwd = NULL,
               tol.line.type = c("dash","dot","dashdot","solid"),
               title = NULL,
               title.position.x = NULL,
               title.position.y = NULL,
               title.size = NULL)

Arguments

tol.out	Output from mvtol.region for multivariate data.
x	Multivariate data from continuous distributions.
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.
z.lab	Label of the z-axis.
z.lab.size	Size of label of the z-axis.
x.tick.size	Size of tick marks on the x-axis.
y.tick.size	Size of tick marks on the y-axis.
z.tick.size	Size of tick marks on the z-axis.
x.col	Color of original data points.
x.cex	Size of original data points.
tol.col	Color of the tolerance region.
tol.lwd	Width of boundary of the tolerance region when data is bivariate.
tol.line.type	Line type of the tolerance region for bivariate data.
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_multitol returns tolerance regions for both bivariate and trivariate continuous data.

References

Krishnamoorthy, K. and Mathew, T. (1999), Comparison of Approximation Methods for Computing Tolerance Factors for a Multivariate Normal Population, Technometrics, 41, 234–249.

Krishnamoorthy, K. and Mondal, S. (2006), Improved Tolerance Factors for Multivariate Normal Distributions, Communications in Statistics - Simulation and Computation, 35, 461–478.

See Also

plottol, mvtol.region

Examples

## 90%/90% bivariate normal tolerance region.
set.seed(100)
x1 <- rnorm(100, 0, 0.2)
x2 <- rnorm(100, 0, 0.5)
x <- cbind(x1, x2)
out1 <- mvtol.region(x = x, alpha = 0.10, P = 0.90, B = 1000,
                     method = "KM")
out1
plotly_multitol(out1, x , x.lab = "X1" , y.lab = "X2")

## 90%/90% trivariate normal tolerance region.
set.seed(100)
x1 <- rnorm(100, 0, 0.2)
x2 <- rnorm(100, 0, 0.5)
x3 <- rnorm(100, 5, 1)
x <- cbind(x1, x2, x3)
mvtol.region(x = x, alpha = c(0.10, 0.05, 0.01),
             P = c(0.90, 0.95, 0.99), B = 1000, method = "KM")
out2 <- mvtol.region(x = x, alpha = 0.10, P = 0.90, B = 1000,
                     method = "KM")
out2
plotly_multitol(out2, x , x.lab = "X1" , y.lab = "X2" , z.lab = "X3",
                title.position.x = 0.57)

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