pv.contour.ic: Contour plot of prediction variance for a design with...

In ALTopt: Optimal Experimental Designs for Accelerated Life Testing

Description

pv.contour.ic draws the contour plot of prediction variance for a given design with interval censoring plan. Either useCond or use region (useLower and useUpper) should be provided.

Usage

pv.contour.ic(
  design,
  xAxis,
  yAxis,
  t,
  k,
  nf,
  alpha,
  formula,
  coef,
  useCond = NULL,
  useLower = NULL,
  useUpper = NULL
)

Arguments

design	the data frame containing the coordinates and the number of allocation of each design point. The design created by either altopt.rc or altopt.ic or any design matrix with the same form as those can be provided for this argument.
xAxis	the name of the factor to be displayed in x axis.
yAxis	the name of the factor to be displayed in y axis.
t	the total testing time.
k	the number of time intervals.
nf	the number of stress factors.
alpha	the value of the shape parameter of Weibull distribution.
formula	the object of class formula which is the linear predictor model.
coef	the numeric vector containing the coefficients of each term in formula.
useCond	the vector of specified use condition. If it is provided, the contour line will be generated up to this point.
useLower, useUpper	the vector of the use region. If these are provided, the contour line will be generated up to this region. Note that either useCond or both of useLower, useUpper should be provided.

Value

The contour plot of prediction variance for interval censoring.

See Also

altopt.ic

Examples

## Not run: 
# Contour plot of prediction variance of U optimal design with interval censoring.
Design <- altopt.ic("D", 100, 30, 5, 2, 1, formula = ~ x1 + x2 + x1:x2,
coef = c(0, -4.086, -1.476, 0.01), useCond = c(1.758, 3.159))

pv.contour.ic(Design$opt.design.rounded, x1, x2, 30, 5, 2, 1,
formula = ~ x1 + x2 + x1:x2, coef = c(0, -4.086, -1.476, 0.01), useCond = c(1.758, 3.159))

## End(Not run)

ALTopt documentation built on Dec. 16, 2019, 1:20 a.m.