Vectorize BCOSSA {cosa}

Vectorizes BCOSSA Solutions

Description

Vectorizes bound constrained optimal sample size allocation (BCOSSA) solutions based on multiple sets of parameter values. This is particularly useful when multiple values of design parameters are to be considered.

Usage

  vectorize.cosa(x, score = NULL,
               args.grid, args.names = NULL,
               ordered = TRUE, ncase = 10L)

Arguments

x

an object returned from one of the cosa.<design>() functions.

score

vector or list; an empirical score variable or an object with class 'score' returned from the inspect.score() function.

args.grid

vector or matrix: arguments' grid consisting of sets of parameter values. A vector of values (for a single parameter) or a matrix (for multiple parameters).

args.names

character list; arguments' names. Default option args.names = NULL uses column names from args.grid

ordered

logical: whether results should be ordered (cases with worst power rate or highest total cost are on top).

ncase

integer: number of cases to be subsetted, ignored if ordered = FALSE.

Examples

design <- cosa.crd2(order = 0, round = FALSE,
                    constrain = "power", power = .80,
                    cn1 = c(20, 10), cn2 = c(200, 50),
                    es = .25, rho2 = .10,
                    g2 = 3, r22 = .30,
                    n1 = NULL, n2 = NULL, p = NULL)

args.grid <- expand.grid(
  rho2 = seq(.15, .25, .05)
)

vectorize.cosa(design, args.grid = args.grid, ordered = FALSE)