Generate mock multidimensional data

Generates mock multidimensional data of a given number of classes of points, for testing.

Usage

mockData(
  Ns = c(25, 15),
  classDiff = 2,
  Sds = 1,
  ndims = 2,
  spread = c(1, 2),
  rndFn = rnorm
)

Ns: A vector of more than one positive integers specifying the number of elements of each class.
classDiff: The distances between the classes. If there are more than 2 classes, this can be a dist object or a symmetric matrix of length(Ns)-1 columns/rows where the lower triangle indicates the desired distances between classes.
Sds: The standard deviation. Can either be a fixed value, a value per class, or a matrix of values for each class (rows) and dimension (column).
ndims: The number of dimensions to generate (default 2).
spread: The spread of the points. Can either be a fixed value, a value per class, or a matrix of values for each class (rows) and dimension (col).
rndFn: The random function, by default rnorm, but should also work for rlnorm and similar.

A data.frame with coordinates and a class column.

d <- mockData()