Generate random grids and calculate 'Slater distances' for the elements.

All Slater distances are returned as a vector. The values can be used e.g. to assess the distributions standard deviation.

Usage

quasiDistributionDistanceSlater(
  reps,
  nc,
  ne,
  range,
  prob = NULL,
  progress = TRUE
)

Arguments

reps

Number of grids to be produced (default is 3).

nc

Number of constructs (default 10).

ne

Number of elements (default 15).

range

Minimal and maximal scale value (default c(1, 5)).

prob

The probability of each rating value to occur. If NULL (default) the distribution is uniform.

progress

Whether to show a progress bar.

Value

A vector containing Slater distance values.

See also

randomGrids(); distanceSlater(); distanceHartmann().

Examples

if (FALSE) { # \dontrun{

vals <- quasiDistributionDistanceSlater(100, 10, 10, c(1, 5), pro = T)
vals
sd(vals)
hist(vals, breaks = 50)
} # }