Description Usage Arguments
Create hyperplane data with independant normal distributions
1
rnhyper(n, mean = 0, sd = 1, d)
n
[numeric(1)]
mean
[numeric(1) | numeric(d)]
sd
[numeric(1) | numeric(d) | matrix(d, d)] If matrix, it's a VCV with variances on the diagonal. Else, interpreted as standard deviations.
[numeric(1) | numeric(d) | matrix(d, d)]
d
[numeric(1)] Dim.
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