plotly_multitol {tolerance}

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)