Usage
plotTolIntNparDesign(x.var = "n", y.var = "conf.level", range.x.var = NULL, n = 25,
coverage = 0.95, conf.level = 0.95, ti.type = "two.sided", cov.type = "content",
ltl.rank = ifelse(ti.type == "upper", 0, 1),
n.plus.one.minus.utl.rank = ifelse(ti.type == "lower", 0, 1), plot.it = TRUE,
add = FALSE, n.points = 100, plot.col = "black", plot.lwd = 3 * par("cex"),
plot.lty = 1, digits = .Options$digits, cex.main = par("cex"), ..., main = NULL,
xlab = NULL, ylab = NULL, type = "l")Arguments
x.var
character string indicating what variable to use for the x-axis. Possible values are
"n" (sample size; the default), "coverage" (the coverage), and "conf.level"
(the confidence level).
y.var
character string indicating what variable to use for the y-axis. Possible values are
"conf.level" (the confidence level; the default), "n" (sample size), and
"coverage" (the coverage).
range.x.var
numeric vector of length 2 indicating the range of the x-variable to use for the plot. The
default value depends on the value of x.var. When x.var="n" the default value is
c(2,50). When x.var="covera
n
numeric scalar indicating the sample size. The default value is
max(25, lpl.rank + n.plus.one.minus.upl.rank + 1).
Missing (NA), undefined (NaN), and infinite (Inf, -Inf)
valu
coverage
numeric scalar between 0 and 1 specifying the coverage of the tolerance interval. The default
value is coverage=0.95. This argument is ignored if x.var="coverage" or
y.var="coverage".
conf.level
a scalar between 0 and 1 indicating the confidence level associated with the tolerance interval.
The default value is conf.level=0.95. This argument is ignored if x.var="conf.level"
or y.var="conf.level", o
ti.type
character string indicating what kind of tolerance interval to compute.
The possible values are "two-sided" (the default), "lower", and
"upper".
cov.type
character string specifying the coverage type for the tolerance interval.
The possible values are "content" ($\beta$-content; the default), and
"expectation" ($\beta$-expectation).
ltl.rank
vector of positive integers indicating the rank of the order statistic to use for the lower bound
of the tolerance interval. If ti.type="two-sided" or ti.type="lower",
the default value is ltl.rank=1 (implyi
n.plus.one.minus.utl.rank
vector of positive integers related to the rank of the order statistic to use for
the upper bound of the tolerance interval. A value of
n.plus.one.minus.utl.rank=1 (the default) means use the
first largest value, and in general a
plot.it
a logical scalar indicating whether to create a plot or add to the
existing plot (see add) on the current graphics device. If
plot.it=FALSE, no plot is produced, but a list of (x,y) values
is returned (see VALUE). T
add
a logical scalar indicating whether to add the design plot to the
existing plot (add=TRUE), or to create a plot from scratch
(add=FALSE). The default value is add=FALSE.
This argument is ignored if
n.points
a numeric scalar specifying how many (x,y) pairs to use to produce the plot.
There are n.points x-values evenly spaced between
range.x.var[1] and range.x.var[2]. The default value is
n.points=100<
plot.col
a numeric scalar or character string determining the color of the plotted
line or points. The default value is plot.col="black". See the
entry for col in the help file for par plot.lwd
a numeric scalar determining the width of the plotted line. The default value is
3*par("cex"). See the entry for lwd in the help file for par
for more information. plot.lty
a numeric scalar determining the line type of the plotted line. The default value is
plot.lty=1. See the entry for lty in the help file for par
for more information. digits
a scalar indicating how many significant digits to print out on the plot. The default
value is the current setting of options("digits"). cex.main, main, xlab, ylab, type, ...
additional graphical parameters (see par).