powered by
All Slater distances are returned as a vector. The values can be used e.g. to assess the distributions standard deviation.
quasiDistributionDistanceSlater( reps, nc, ne, range, prob = NULL, progress = TRUE )
A vector containing Slater distance values.
Number of grids to be produced (default is 3).
3
Number of constructs (default 10).
Number of elements (default 15).
Minimal and maximal scale value (default c(1, 5)).
c(1, 5)
The probability of each rating value to occur. If NULL (default) the distribution is uniform.
NULL
Whether to show a progress bar.
randomGrids(); distanceSlater(); distanceHartmann().
randomGrids()
distanceSlater()
distanceHartmann()
if (FALSE) { vals <- quasiDistributionDistanceSlater(100, 10, 10, c(1, 5), pro = T) vals sd(vals) hist(vals, breaks = 50) }
Run the code above in your browser using DataLab