Mean Functions
The package provides functions to compute means of different kinds.
StatsBase.geomean — Function.geomean(a)Return the geometric mean of a real-valued array.
StatsBase.harmmean — Function.harmmean(a)Return the harmonic mean of a real-valued array.
StatsBase.genmean — Function.genmean(a, p)Return the generalized/power mean with exponent p of a real-valued array, i.e. $\left( \frac{1}{n} \sum_{i=1}^n a_i^p \right)^{\frac{1}{p}}$, where n = length(a). It is taken to be the geometric mean when p == 0.
The mean and mean! functions are also extended to accept a weight vector of type AbstractWeights to compute weighted mean.
Base.mean — Method.mean(A::AbstractArray, w::AbstractWeights[, dim::Int])Compute the weighted mean of array A with weight vector w (of type AbstractWeights). If dim is provided, compute the weighted mean along dimension dim.
Examples
w = rand(n)
mean(x, weights(w))Base.mean! — Method.mean(R::AbstractArray, , A::AbstractArray, w::AbstractWeights[, dim::Int])Compute the weighted mean of array A with weight vector w (of type AbstractWeights) along dimension dim, and write results to R.