randomBeta: Generating selection gradients/vectors in random directions.
In evolvability: Calculation of Evolvability Parameters

Description Usage Arguments Details Value Author(s) Examples

randomBeta generates unit length vectors (selection gradients) uniformly distributed in a k-dimensional hypersphere.

1	randomBeta(n = 1, k = 2)

`n`	Number of selection gradients/vectors.
`k`	Number of dimensions.

randomBeta exploits the spherical symmetry of a multidimensional Gaussian density function. Each element of each vector is randomly sampled from a univariate Gaussian distribution with zero mean and unit variance. The vector is then divided by its norm to standardize it to unit length.

randomBeta returns a matrix where the vectors are stacked column wise.

Geir H. Bolstad