plotly_anovatol: Plotting Tolerance Intervals for ANOVA

In tolerance: Statistical Tolerance Intervals and Regions

Plotting Tolerance Intervals for ANOVA

Description

Plot tolerance intervals for each factor level in a balanced (or nearly-balanced) ANOVA

Usage

plotly_anovatol(tol.out,
                x, 
                factors = NULL, 
                side = c("two","upper", "lower"),
                range.min = NULL,
                range.max = NULL,
                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,
                tol.col = NULL,
                tol.lwd = NULL,
                tol.line.type = c("dash","dot","dashdot","solid"),
                tol.lower.col = NULL,
                tol.lower.lwd = NULL,
                tol.lower.line.type = c("dash","dot","dashdot","solid"),
                tol.upper.col = NULL,
                tol.upper.lwd = NULL,
                tol.upper.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 any ANOVA tolerance interval procedure.
x	A data frame consisting of the data fitted in lm.out. Note that data must have one column for each main effect (i.e., factor) that is analyzed in lm.out and that these columns must be of class factor.
factors	Specify certain factor(s) to present. The name(s) of the factor(s) needs to be consistent with the name(s) in the original dataset.
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.
range.min	Minimum value on the y-axis. If actual lower limit is greater than range.min, then the lower limit will be presented.
range.max	Maximum value on the y-axis. If actual upper limit is smaller than range.max, then the upper limit will be presented.
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.
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 the tolerance intervals when tol.out shows 2-sided tolerance intervals.
tol.lower.col	Color of the lower tolerance interval when tol.out shows 1-sided tolerance intervals. When side = "two", users still have options to choose different colors for upper and lower tolerance intervals.
tol.lower.lwd	Width of the lower tolerance interval when tol.out shows 1-sided tolerance intervals. When side = "two", users still have options to choose different widths for upper and lower tolerance intervals.
tol.lower.line.type	Line type of lower tolerance interval when tol.out shows 1-sided tolerance intervals. When side = "two", users still have options to choose different widths for upper and lower tolerance intervals.
tol.upper.col	Color of the upper tolerance interval when tol.out shows 1-sided tolerance intervals. When side = "two", users still have options to choose different colors for upper and lower tolerance intervals.
tol.upper.lwd	Width of the upper tolerance interval when tol.out shows 1-sided tolerance intervals. When side = "two", users still have options to choose different widths for upper and lower tolerance intervals.
tol.upper.line.type	Line type of upper tolerance interval when tol.out shows 1-sided tolerance intervals. When side = "two", users still have options to choose different widths for upper and lower tolerance intervals.
title	The main title on top of the plot
title.position.x	Horizontal position of the title.
title.position.y	Vertical position of the title.
title.size	Size of the title.

Value

plotly_anovatol returns box plots as well as corresponding tolerance intervals for each main effect of an ANOVA.

References

Howe, W. G. (1969), Two-Sided Tolerance Limits for Normal Populations - Some Improvements, Journal of the American Statistical Association, 64, 610–620.

Weissberg, A. and Beatty, G. (1969), Tables of Tolerance Limit Factors for Normal Distributions, Technometrics, 2, 483–500.

See Also

anovatol.int, plottol, K.factor, normtol.int, lm, anova

Examples

## 90%/95% 1-sided tolerance intervals for a 2-way ANOVA
## using the "warpbreaks" data.
attach(warpbreaks)
lm.out <- lm(breaks ~ wool + tension)
out.1 <- anovatol.int(lm.out, data = warpbreaks, alpha = 0.10,
                    P = 0.95, side = 1, method = "HE")
out.1
plotly_anovatol(out.1, x = warpbreaks , factors = 'wool' , x.lab = "Wool" , side="two")

## 90%/95% 2-sided tolerance intervals for a 2-way ANOVA
## using the "warpbreaks" data.
out.2 <- anovatol.int(lm.out, data = warpbreaks, alpha = 0.10,
                      P = 0.95, side = 2, method = "HE")
out.2
plotly_anovatol(out.2, x = warpbreaks , range.min = 20 , range.max = 60)

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