pv.contour.rc: Contour plot of prediction variance for a design with right...
In ALTopt: Optimal Experimental Designs for Accelerated Life Testing

Description Usage Arguments Value See Also Examples

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

pv.contour.rc(
  design,
  xAxis,
  yAxis,
  tc,
  nf,
  alpha,
  formula,
  coef,
  useCond = NULL,
  useLower = NULL,
  useUpper = NULL
)

`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.
`tc`	the censoring time.
`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.

The contour plot of prediction variance for right censoring.

altopt.rc

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

pv.contour.rc(Design$opt.design.rounded, x1, x2, 100, 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)