Compute the Shannon's Entropy \(H(X) = - \sum P(X) * log2(P(X))\) based on a given probability vector \(P(X)\).
H(x, unit = "log2")
a numeric probability vector \(P(X)\) for which Shannon's Entropy \(H(X)\) shall be computed.
a character string specifying the logarithm unit that shall be used to compute distances that depend on log computations.
a numeric value representing Shannon's Entropy in bit.
This function might be useful to fastly compute Shannon's Entropy for any given probability vector.
Shannon, Claude E. 1948. "A Mathematical Theory of Communication". Bell System Technical Journal 27 (3): 379-423.
H(1:10/sum(1:10))#>  3.103643