# Mean Functions

The package provides functions to compute means of different kinds.

StatsBase.genmeanFunction
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.

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The mean and mean! functions are also extended to accept a weight vector of type AbstractWeights to compute weighted mean.

Statistics.meanFunction
mean(A::AbstractArray, w::AbstractWeights[, dims::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 dims.

Examples

w = rand(n)
mean(x, weights(w))
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Statistics.mean!Function
mean!(R::AbstractArray, A::AbstractArray, w::AbstractWeights[; dims=nothing])

Compute the weighted mean of array A with weight vector w (of type AbstractWeights) along dimension dims, and write results to R.

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