vdar (version 0.1.3)

generalized_mean: Generalized mean

Description

Calculates the generalized mean of a data set by using a given group variance and individual, observation-wise variances for each observation of the data set

Usage

generalized_mean(x, ...)
# S3 method for default
generalized_mean(
  x,
  var,
  individual_var = matrix(0, nrow = nrow(x), ncol = ncol(x)),
  ...
)
# S3 method for rmult
generalized_mean(
  x,
  var,
  individual_var = matrix(0, nrow = nrow(x), ncol = ncol(x)^2),
  ...
)

Arguments

x

a matrix containing the data for which the mean should be calculated

...

not implemented

var

a matrix containing the corrected (estimated true) group variances

individual_var

a matrix containing individual variances. Default is a 0 - matrix with the dimensions of x, can be used for implementing the individual uncertainties

Value

vector of lenght of ncol(x) of generalized means

Methods (by class)

• default: for class matrix or data.frame

• rmult: for class rmult of package 'compositions'