quasiDistributionDistanceSlater: Generate random grids and calculate 'Slater distances' for...

In markheckmann/OpenRepGrid: Tools to Analyze Repertory Grid Data

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

Description

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

## Not run: 

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

## End(Not run)

markheckmann/OpenRepGrid documentation built on April 14, 2024, 8:15 a.m.